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Lead Data Engineer
Salary not disclosed
Atlanta, Georgia 1 week ago

Job Title – Lead Data Engineer

Please note this role is not able to offer visa transfer or sponsorship now or in the future

About the role

As a Lead Data Engineer, you will make an impact by designing, building, and operating scalable, cloud‐native data platforms supporting batch and streaming use cases, with strong focus on governance, performance, and reliability. You will be a valued member of the Data Engineering team and work collaboratively with cross‐functional engineering, cloud, and architecture stakeholders.

In this role, you will:

  • Design, build, and operate scalable cloud‐native data platforms supporting batch and streaming workloads with strong governance, performance, and reliability.
  • Develop and operate data systems on AWS, Azure, and GCP, designing cloud‐native, scalable, and cost‐efficient data solutions.
  • Build modern data architectures including data lakes, data lakehouses, and data hubs, with strong understanding of ingestion patterns, data governance, data modeling, observability, and platform best practices.
  • Develop data ingestion and collection pipelines using Kafka and AWS Glue; work with modern storage formats such as Apache Iceberg and Parquet.
  • Design and develop real‐time streaming pipelines using Kafka, Flink, or similar streaming frameworks, with understanding of event‐driven architectures and low‐latency data processing.
  • Perform data transformation and modeling using SQL‐based frameworks and orchestration tools such as dbt, AWS Glue, and Airflow, including Slowly Changing Dimensions (SCD) and schema evolution.
  • Use Apache Spark extensively for large‐scale data transformations across batch and streaming workloads.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Atlanta, GA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

  • Hands‐on experience developing and operating data systems on AWS, Azure, and GCP.
  • Proven ability to design cloud‐native, scalable, and cost‐efficient data solutions.
  • Experience building data lakes, data lakehouses, and data hubs with strong understanding of ingestion patterns, governance, modeling, observability, and platform best practices.
  • Expertise in data ingestion and collection using Kafka and AWS Glue, with experience in Apache Iceberg and Parquet.
  • Strong experience designing and developing real‐time streaming pipelines using Kafka, Flink, or similar streaming frameworks.
  • Deep expertise in data transformation and modeling using SQL‐based frameworks and orchestration tools including dbt, AWS Glue, and Airflow, with knowledge of SCD and schema evolution.
  • Extensive experience using Apache Spark for large‐scale batch and streaming data transformations.

These will help you stand out

  • Experience with event‐driven architectures and low‐latency data processing.
  • Strong understanding of schema evolution, SCD modeling, and modern data modeling concepts.
  • Experience with Apache Iceberg, Parquet, and modern ingestion/storage patterns.
  • Strong knowledge of observability, governance, and platform best practices.
  • Ability to partner effectively with cloud, architecture, and engineering teams.

Salary and Other Compensation:

Applications will be accepted until March 17, 2025.

The annual salary for this position is between $81,000 - $135,000, depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long‐term/Short‐term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Not Specified
Lead Full Stack Engineer
🏢 Harnham
Salary not disclosed
Dallas, TX 1 week ago

**CAN BE HYBRID IN DALLAS, CHICAGO, ATLANTA, NYC, OR FORT WASHINGTON, MD**


Our client is seeking a highly skilled Lead Full Stack Engineer to join our Enterprise Architecture & Engineering team. This is a high-impact role responsible for supporting and enhancing existing web applications while driving innovation through modern cloud and full-stack technologies.

You will lead the design and delivery of scalable, cloud-native solutions using Azure, C#/.NET, React, Next.js, and Node.js, partnering closely with product and senior leadership to shape the technical roadmap.

This role requires deep technical expertise, strong architectural judgment, and proven leadership experience managing distributed (onshore and offshore) engineering teams.

Responsibilities

  • Lead the design, development, and ongoing maintenance of full-stack applications using Azure, C#/.NET, React, Next.js, and Node.js
  • Provide production support and ensure high availability, performance, and reliability of applications
  • Troubleshoot complex production issues and drive durable, long-term solutions
  • Architect and implement scalable, secure, cloud-native solutions
  • Drive technical evaluations and Proofs of Concept (POCs) for emerging technologies
  • Partner with product managers and senior stakeholders to translate business needs into technical solutions
  • Establish and enforce architecture standards, coding best practices, and documentation
  • Mentor and lead distributed engineering teams to deliver high-quality software on schedule
  • Facilitate cross-functional alignment across engineering, product, and business teams
  • Maintain architecture diagrams and technical documentation to support knowledge sharing

Required Qualifications

  • 8+ years of hands-on software development experience, including experience in a Lead or Senior Full Stack role

Strong expertise in:

  • Azure
  • C# / .NET
  • React and Next.js
  • Node.js
  • SQL Server and NoSQL databases (e.g., Cosmos DB)
  • Solid understanding of microservices and event-driven architectures
  • Experience with containerization technologies such as Docker and Azure Service Fabric
  • Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, Jenkins, or similar)
  • Strong front-end and back-end fundamentals (JavaScript, HTML5, CSS, REST APIs, database design)
  • Knowledge of application and cloud security principles (PKI, cryptography, SSL/TLS, secure protocols)
  • Proven experience leading and mentoring onshore/offshore teams
  • Excellent communication skills with the ability to influence senior stakeholders

Preferred Qualifications

  • Experience deploying large-scale, cloud-native applications on Azure
  • Familiarity with Kubernetes or other container orchestration platforms
  • Exposure to Python and AI/ML technologies (e.g., Azure Cognitive Services, LangChain, Azure Document Intelligence, Azure OpenAI)
  • Understanding of cloud infrastructure and security best practices
  • Experience designing and executing technical POCs
permanent
Salesforce Architect (Hybrid)
Salary not disclosed
Plano, Hybrid 1 week ago
Title: Salesforce Architect (Hybrid) Location: Plano, TX Job Summary: We are seeking an experienced Salesforce Architect with 10+ years of experience designing scalable and high-performance Salesforce solutions.

The role involves translating business requirements into technical architecture, leading implementations, and providing guidance across Sales Cloud, Service Cloud, and Experience Cloud environments.

Must Have skills: Salesforce Salesforce integration Salesforce security Service cloud Key Responsibilities: Design scalable Salesforce architecture, including data models, integrations, security, and user experience.

Collaborate with stakeholders to gather requirements and translate them into functional designs and user stories.

Provide technical leadership on declarative solutions (Flows, configurations) and programmatic development (Apex, LWC).

Lead solution implementation, including integration, data migration, testing, and deployment.

Act as a trusted advisor to business and technical teams, ensuring best practices and platform optimization.

Stay current with Salesforce releases and innovations to recommend improvements.

Required Skills: 10+ years of Salesforce experience.

Strong expertise in Salesforce Clouds (Sales, Service, Experience).

Hands-on experience with Apex, Lightning Web Components (LWC), APIs, and integrations.

Experience with data modeling, data migration, and enterprise architecture.

Excellent communication and stakeholder management skills.
Remote working/work at home options are available for this role.
Not Specified
Sr. Support Engineer - Integrations (SAP IS)
Salary not disclosed
Northbrook 1 week ago
Job Summary Job Description Responsible for the administration, design, development, implementation, and integration of SAP cloud and on-premise solutions, focusing on SAP Cloud Platform Integration (CPI), SAP Business Technology Platform (BTP), SAP Integration Suite, and Event Mesh.

Analyze business and technical requirements, design integration flows, and ensure operational excellence of integration platforms.

Mentor junior engineers and promote best practices in integration architecture and support operations.

MAJOR RESPONSIBILITIES Administer and operate SAP BTP environments, including connectivity, user roles, and API provisioning.

Design, develop, and deploy complex integration flows using SAP CPI, SAP Integration Suite, and Advanced Event Mesh.

Manage day-to-day operations, including monitoring, incident resolution, and performance tuning of integration platforms.

Configure and maintain Solace/Event Mesh messaging infrastructure—topics, queues, subscriptions—and ensure operational stability.

Lead migration projects from legacy platforms (e.g., SAP PI/PO) to SAP Integration Suite.

Implement and support API-first integration designs, ensuring secure and scalable interfaces using REST/SOAP.

Utilize SAP Solution Manager, CPI Monitoring Dashboards, and SAP BTP Admin tools for proactive system monitoring.

Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

Guide junior developers and lead technical knowledge transfer sessions.

Optimize existing integrations for performance, maintainability, and error handling.

Participate in Agile events and drive continuous improvement in integration operations.

Interface with tools like ElasticSearch, Splunk for logging, diagnostics, and operational insights.

Adhere to and enforce all company standards related to integration development, including security, performance, and resiliency standards.

On call production support as needed.

MINIMUM JOB REQUIREMENTS Education Bachelor’s degree in computer science, IT, or related discipline.

Work Experience 8+ years of experience in SAP integration development and operations.

2+ years of hands-on experience in SAP BTP, SAP Integration Suite, and SAP CPI.

Experience with ABAP (IDOCs, BAPI, RFC), REST/SOAP services, XML, JSON, and transformation logic.

Hands-on experience with Advanced Event Mesh, APIs, and Cloud Console.

Experience with SAP Fiori and S/4HANA integration scenarios.

Experience applying project management methodologies.

Knowledge / Skills / Abilities Strong background in platform administration, operational support, and incident management.

Proficiency in Java, Groovy, or Python.

Knowledge of authentication protocols (OAuth, SAML, SSL) and relational databases (SAP HANA, Oracle).

SAP certifications in Integration Suite, BTP, or Cloud Platform Integration (preferred).

Experience with DevOps tools (Git, Jenkins, Docker, Kubernetes, CI/CD).

Exposure to cloud platforms (AWS, Azure, GCP).

Knowledge of event-driven architectures and microservices.

Familiarity with Agile practices and tools (JIRA, Confluence).

Experience with SAP Open Connectors, Graph API, and CAPM.

Broad knowledge of integration protocols and tools.

Strong communication and documentation skills.

Analytical mindset with a focus on operational excellence.

Proven ability to mentor and lead junior engineers.

Collaborative and proactive in cross-functional environments.

Detail-oriented and highly organized.

Passionate about innovation and continuous learning.

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

The anticipated salary range for this position: $101,000.00
- $152,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.

This role is bonus and/or incentive eligible.

Medline will not pay less than the applicable minimum wage or salary threshold.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.

For a more comprehensive list of our benefits please click here .

For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.

We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.

Explore our Belonging page here .

Medline Industries, LP is an equal opportunity employer.

Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
GTM SIs & Expansion Lead, Partner Core Customer Segments
🏢 Amazon
Salary not disclosed
Seattle, WA 1 week ago
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Amazon Web Services (AWS) is the pioneer and recognized leader in cloud computing. AWS customers transform and reinvent their businesses through the cloud and the AWS Partner Network (APN) is helping to dramatically accelerate that innovation, with more than 140k partners in more than 150 countries. More than 90% of Fortune 100 companies and the majority of Fortune 500 companies utilize AWS Partner solutions and services.

Would you like to help drive go-to-market excellence with consulting partners and system integrators through the Small Business Acceleration Initiative (SBAI)? The APN Customer and Partner Engagements team is seeking an experienced candidate to lead the GTM System Integrator Strategy & Expansion for SBAI. As the GTM System Integrator Strategy & Expansion Lead, you will establish scalable processes and best practices that accelerate customer acquisition and launches through consulting partners and system integrators, while leading geographic and business unit expansion of the SBAI motion, including future indirect selling scenarios beyond current scope.

This ideal candidate is highly strategic, operationally excellent, and partner-focused, one who can design and implement repeatable GTM frameworks that enable system integrators to drive SMB customer acquisition at scale. You have relentlessly high standards and obsess over creating mechanisms that work across diverse geographies and business units. You are equally comfortable developing global strategy as you are rolling up your sleeves to establish best practices with individual SI partners. This role has a global responsibility, and you will influence and collaborate with a wide variety of AWS leaders including SBAI program leaders, executives across AWS Global Sales (AGS) and
AWS Specialists and Partners (ASP), as well as regional leaders, system integrator executives, and operations teams. You are passionate about building the foundation for indirect selling expansion, leveraging partner capabilities, and creating scalable frameworks that enable revenue growth through the SI ecosystem.

Position available and relocation provided for candidates in Seattle, San Francisco, Los Angeles, Chicago, Dallas, Austin, Atlanta, DC, New York, Boston

Key job responsibilities
- Develop and execute comprehensive GTM strategy for system integrator engagement within SBAI, establishing scalable processes, playbooks, and best practices that accelerate customer acquisition and opportunity launches across consulting partners and SIs
- Lead geographic expansion of SBAI motion into new territories and regions, working with regional leaders to adapt the partner-led model while maintaining program consistency and effectiveness
- Drive business unit expansion strategy, identifying opportunities to extend SBAI frameworks beyond SMB-Small into ISV, Startup, Public Sector, and other customer cohorts, including designing future indirect selling scenarios
- Establish and optimize SI partner engagement models, including capacity and capability frameworks specific to different customer segments, partner types, and geographic markets
- Build strong relationships with system integrator executives and practice leaders, understanding their business models and co-developing solutions that align AWS growth objectives with SI strategic priorities
- Create and maintain comprehensive GTM toolkits, including partner playbooks, enablement materials, success metrics, and operational frameworks that can be replicated across geographies and business units
- Work closely with SBAI program team, Partner Core leaders, and field teams (PTMs, PDMs, PSMs) to ensure successful implementation of SI strategies and gather feedback for continuous improvement
- Drive cross-organizational alignment across AGS, ASP, Marketing, and Operations to ensure SI expansion initiatives are supported with appropriate resources, systems, and incentives
- Develop business cases and ROI models that demonstrate the value of SI-led customer acquisition, securing executive support and investment for expansion initiatives
- Monitor and analyze SI performance metrics, identifying trends, opportunities, and areas for optimization to continuously improve partner effectiveness and program outcomes

About the team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- 3+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 3+ years of program or project management experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience using data and metrics to determine and drive improvements
- Proven track record of designing and scaling GTM programs across multiple geographies or business units- Experience leading change in multiple site environments and influenceing those that are not direct reports or within your organization
- Experience in analyzing data to drive decisions
- Master of Business Administration, or Associate's degree or above
- Experience in partner strategy, alliances, business development, or GTM program management for a large technology firm
- Deep understanding of cloud-based technologies and partner ecosystems, particularly system integrator business models
- Experience with AWS Partner Network (APN) programs or similar partner programs at scale
- Track record of successfully launching and scaling partner programs across multiple geographies

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, San Francisco - 101,6 ,800.00 USD annually
USA, CA, Santa Clara - 101,6 ,800.00 USD annually
USA, GA, Atlanta - 92,4 ,000.00 USD annually
USA, IL, Chicago - 92,4 ,000.00 USD annually
USA, MA, Boston - 92,4 ,000.00 USD annually
USA, NY, New York - 101,6 ,800.00 USD annually
USA, TX, Dallas - 92,4 ,000.00 USD annually
USA, VA, Arlington - 92,4 ,000.00 USD annually
USA, WA, Seattle - 92,4 ,000.00 USD annually
Not Specified
AWS DevOps Engineer
Salary not disclosed
Charlotte, NC 1 week ago

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: AWS DevOps Engineer

Location: Charlotte, NC

Salary: Market Rate

Job Description:

We are seeking a highly skilled Senior DevOps Engineer with strong expertise in AWS cloud infrastructure automation databases and modern containerized environments The ideal candidate will have experience designing implementing and maintaining scalable secure and reliable systems while enabling fast and efficient development workflows You will work closely with development architecture and operations teams to build robust CICD pipelines automate infrastructure provisioning and ensure high availability of business critical applications

Key Responsibilities:

  • Design implement and manage AWS cloud infrastructure EC2 S3 Lambda ECSEKS etc with scalability and security in mind
  • Develop and maintain Infrastructure as Code IaC using Terraform
  • Build manage and optimize Docker base images and containerized application stacks
  • Orchestrate and maintain Kubernetes EKS clusters for production and staging environments
  • Set up manage and optimize CICD pipelines in GitLab to support fast reliable deployments
  • Manage MCP servers and ensure reliable operations for critical services
  • Automate operational tasks and workflows using Python and JavaScript
  • Support fullstack teams React Nodejs by providing containerized environments and deployment strategies
  • Manage and optimize databases SQL PostgreSQL for performance security and scalability
  • Integrate and manage AWS streaming services Kinesis MSK Kafka or similar for realtime data pipelines
  • Implement container image security scanning governance and lifecycle management
  • Monitor system performance availability and cost implementing proactive improvements
  • Ensure compliance with security and governance standards across cloud infrastructure and database layers
  • Collaborate with developers and architects to improve application delivery scalability and resilience

Required Skills Qualifications:

  • 8 years of experience in DevOps Cloud Infrastructure
  • Strong Handson experience with AWS services EC2 S3 ECSEKS Lambda VPC IAM CloudWatch Kinesis MSK
  • Proficiency in Terraform for infrastructure automation
  • Expertise with Docker including base image creation and Kubernetes orchestration
  • Strong scripting programming skills in Python and JavaScript
  • Experience with GitLab CICD for pipelines automation and environment management
  • Strong database experience with SQL and PostgreSQL setup scaling replication performance tuning
  • Exposure to streaming architectures AWS Kinesis Kafka MSK or similar
  • Experience supporting React based applications from a DevOps perspective
  • Familiarity with MCP servers and containerized service deployments
  • Knowledge of cloud cost optimization and security best practices
  • Strong problem-solving troubleshooting and communication skills
  • Preferred Qualifications
  • AWS certifications eg AWS Certified Solutions Architect DevOps Engineer Professional
  • Experience with monitoring observability tools Prometheus Grafana ELK Datadog
  • Knowledge of networking load balancing and distributed system design
  • Familiarity with Agile Scrum methodologies

Skills

  • Mandatory Skills : AWS Lambda, Docker, Python
  • Good to Have Skills : Ansible, Git, Kubernetes



LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Not Specified
Teradata Lead Administrator
🏢 Cognizant
Salary not disclosed
Newark, NJ 1 week ago

Job Title – Teradata Lead Administrator

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*

About the role

The Teradata Lead Administrator is responsible for owning the end-to-end strategy, governance, and operational excellence of the Teradata ecosystem across on premise and cloud environments. This role combines deep technical expertise with architectural leadership, platform modernization, FinOps discipline, and cross functional collaboration. The administrator will drive platform reliability, performance, security, and scalability while guiding teams, managing vendors, and supporting enterprise data initiatives.

In this role, you will:

Platform Strategy & Architecture

  1. • Develop and own the Teradata platform roadmap, including modernization, integration, and compatibility planning.
  2. • Design and govern HADR architecture, capacity models, workload tiering, and cross cloud QueryGrid policies.
  3. • Provide architectural support for Vantage topology, scaling strategies, observability, and cost control frameworks.
  4. • Lead PoCs for new capabilities, tools, and integrations.

Governance, Operations & Performance

  1. • Establish and enforce SLAs, SLIs, audit frameworks, and antipattern governance.
  2. • Drive systemwide performance tuning and multi tier workload management policies.
  3. • Define automation standards and support WLM as code governance, including code reviews and fixes.
  4. • Oversee DR strategy, backup and recovery processes, and compliance with enterprise data security policies.

Cloud, Network & FinOps

  1. • Support right sizing of compute and storage tiers, including FinOps planning and governance.
  2. • Contribute to hybrid network architecture, DXTGW strategy, Security Hub, Config, Guardium, and enterprise IAM/RBAC governance.
  3. • Ensure cost efficient, secure, and compliant cloud operations.

Operational Excellence & Support

  1. • Monitor Teradata system health, performance, and resource utilization.
  2. • Lead new environment setup, configuration, and platform migrations.
  3. • Provide L3 support for complex issues and guide teams through ITSM processes (ServiceNow, Remedy, Jira Service Desk).

Leadership & Collaboration

  1. • Manage vendor relationships and coordinate with Teradata engineering teams.
  2. • Mentor junior DBAs and foster a culture of continuous improvement.
  3. • Contribute to RACI definitions, risk management, and enterprise-wide integration planning.

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Newark, NJ. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

  1. • Strong understanding of Teradata architecture, utilities, and tools (BTEQ, FastLoad, MultiLoad, TPT).
  2. • Solid knowledge of data warehousing concepts and enterprise data management.
  3. • Experience with performance tuning, workload management, and system observability.
  4. • Familiarity with cloud security, compliance frameworks, and hybrid network architectures.
  5. • Problem solving mindset with the ambition to grow into a senior DBA/architect role.

Certifications

• New Teradata Accreditation (Required)

Salary and Other Compensation:

Applications will be accepted until March 21, 2025.


The annual salary for this position is between $81,000 - $135,000 depending on experience and other qualifications of the successful candidate.


This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.


Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:


· Medical/Dental/Vision/Life Insurance

· Paid holidays plus Paid Time Off

· 401(k) plan and contributions

· Long-term/Short-term Disability

· Paid Parental Leave

· Employee Stock Purchase Plan


Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Not Specified
Salesforce Lead Developer (no direct reports/SME)
Salary not disclosed

*Per the client, No C2C's!*


Central Point Partners is currently interviewing candidates in the Columbus, Oh area for a large client.


Because this is a Contract to Hire position only GC’s and USC’s.


This position is Hybrid (4 Days remote/work from home)! Only candidates who are local to Columbus, Oh will be considered.


Salesforce Lead Developer (no direct reports/SME)


Notes from my call with the manager:


This is our classic Tech lead. I am hoping that whoever we find can be in person in Columbus, day 1 of contract. They will be expected to be onsite 4 days a week. This is core salesforce development and design. Core Salesforce capabilities such as: Apex, LWCs, flows, triggers, complex formulas, workflows, and security.”


The client's Salesforce Center of Excellence (COE) team is seeking a Technical Lead to participate in development activities spanning multiple Salesforce platforms. The ideal candidate will be able to:


1. Independently build and unit test components as well as work with Dev/QA team members to resolve code and configuration-based defects. Lead a dev team and provide guidance/mentor as needed.

2. Provide direction to the dev team to conduct research and document results for new Salesforce capabilities or review exiting platform-related issues.

3. Lead Proof of concepts with the architects to evaluate and document new designs, integrations, patterns, and practices.


Duties and Responsibilities:

  • Provide leadership and demonstrate proficiency in Core Salesforce capabilities such as: Apex, LWCs, flows, triggers, complex formulas, workflows, and security.
  • Participate in agile practices and ceremonies through scrum team planning sessions, user story refinement, daily status updates, code reviews and provide leadership to team members.
  • Participate in enhancements to DevOps processes (pipelines, monitoring, test automation).
  • Understanding of enterprise cross-system integration concepts such as processing events and interacting with APIs.
  • Conduct product/solution evaluations – including Salesforce capabilities and third-party vendor offerings - for domain by creating prototypes/Proof of concepts as a means to elicit clarify and design towards the business goals.
  • Design, document, and develop development patterns and best practices for consumption by COE technical delivery organization.
  • Mentor technical delivery staff.


Basic Qualifications:

  • Bachelor's Degree
  • Min 4 years of progressively responsible technical and business work experience developing enterprise-level applications which includes full-stack development experience.
  • Min 2-3 years in a scrum team environment
  • Strong problem-solving, interpersonal and communication skills (both verbal and written) are primary to the success of this candidate.
  • SFDC Data Model knowledge across various cloud/products & strong data modeling experience.
  • Subject matter expertise in branching/code merging practices in GIT (or equivalent) repository.


Preferred Qualifications:

  • Salesforce Certifications such as, but not limited to: Administrator, Platform Developer (1 and 2), Sales Cloud Consultant, Service Cloud Consultant
  • Salesforce Financial Services Cloud experience highly preferred
  • Salesforce managed package evaluation, deployment, and upgrade experience highly preferred
  • Experience with Salesforce CI/CD(Jenkins, Copado, Gearset, etc)
  • Experience with other salesforce products like MuleSoft, Salesforce Marketing Cloud would be a plus


For more information about this opportunity, please contact Bill Hart at 614-352-3615 AND email your resume to !

Not Specified
Fullstack Developer
Salary not disclosed
Denver, Colorado 1 week ago

A Full Stack Developer is responsible for designing, developing, and maintaining both front-end and back-end components of web applications. This role requires proficiency in a wide range of programming languages, frameworks, and tools, enabling the developer to deliver seamless and efficient user experiences while ensuring robust server-side functionality.

Key Roles

  • Front-End Development: Build and maintain user interfaces using modern frameworks such as React, Angular, or Vue.js and Static Web Apps.
  • Back-End Development: Design and implement server-side logic, APIs, and databases using languages such as Node.js, Python, Java, or .NET.
  • Collaboration: Work closely with UX/UI designers, product managers, and other developers to translate requirements into technical solutions.
  • Cloud Development: Use Azure cloud to develop end to end applications to support data sceince projects.
  • Testing and Debugging: Write and execute unit, integration, and end-to-end tests; identify and resolve bugs in both front-end and back-end code.
  • Deployment: Manage application deployment, monitoring, and scaling using cloud services or on-premises infrastructure.
  • Continuous Improvement: Stay up to date with industry trends, best practices, and emerging technologies to continuously improve application performance and development processes.

Responsibilities

  • Develop, test, and maintain scalable web applications from concept through deployment.
  • Design and manage databases, ensuring data integrity and security.
  • Integrate third-party APIs and services as required by project needs.
  • Familiarity working with data science teams to develop dashboards and applications.
  • Write clean, maintainable, and well-documented code adhering to team standards.
  • Participate in code reviews and provide constructive feedback to peers.
  • Troubleshoot, debug, and upgrade existing applications.
  • Optimize applications for maximum speed and scalability.
  • Ensure cross-platform compatibility and responsiveness of applications.
  • Collaborate in agile development teams, participating in sprint planning, stand-ups, and retrospectives.
  • Contribute to the design and implementation of DevOps practices, including CI/CD pipelines.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
  • Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks.
  • Strong background in Azure full stack development.
  • Strong experience with back-end programming languages and frameworks.
  • Knowledge of database management systems (SQL and NoSQL).
  • Familiarity with version control systems, preferably Git.
  • Experience with RESTful API design and integration.
  • Excellent problem-solving and communication skills.
  • Ability to work independently and as part of a collaborative team.
  • 2+ years of experience.

Preferred Skills

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Knowledge of security best practices in web development.
  • Familiarity with Agile methodologies.
Not Specified
Applied Machine Learning Engineer – ML & AI Systems
Salary not disclosed
Chicago, IL 1 week ago

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.


As part of our continued investment in data and AI-driven innovation, we are expanding our machine learning capabilities across predictive analytics, optimization, and intelligent decision systems — while gradually incorporating modern Generative AI technologies where they create measurable business value.


We are seeking an Applied Machine Learning Engineer to design, build, and deploy production-grade machine learning systems across the healthcare enterprise.


This is a hands-on engineering role focused primarily on predictive modeling, optimization systems, decision engines, and scalable ML infrastructure. The ideal candidate combines strong modeling expertise with production engineering and MLOps experience.


In addition to traditional ML, this role will have opportunities to explore and implement Generative AI and LLM-powered capabilities as part of TAG’s evolving AI roadmap.

This role works in close partnership with Enterprise IT and Platform Engineering to ensure production-grade reliability and scalability.


Essential Responsibilities

Machine Learning Development & Modeling (Primary Focus)

  • Design, develop, and deploy predictive models and ML algorithms to address business challenges such as: Schedule Optimization, Propensity Segmentation, Demand Forecasting, and Pricing
  • Conduct experimentation, feature engineering, and hyperparameter tuning to improve model performance in collaboration with data scientists
  • Implement advanced modeling techniques including tree-based methods, deep learning, and optimization algorithms.
  • Translate business requirements into scalable ML solutions in partnership with cross-functional stakeholders.
  • Take ownership of model performance from experimentation through production monitoring.


MLOps & Production Engineering (Core Expectation)

  • Build scalable, secure, production-grade ML pipelines using modern cloud-native technologies.
  • Contribute to implementing distributed training workflows, batch and real-time inference systems, and low latency serving architectures
  • Deploy models via APIs and integrate with enterprise applications.
  • Leverage Google Cloud Platform (GCP), including Vertex AI, BigQuery, Kubernetes, Cloud Run, Dataflow, and Pub/Sub.
  • Implement CI/CD workflows for ML lifecycle management within defined architecture
  • Ensure reproducibility, versioning, and governance of models and features.


Monitoring, Reliability & System Optimization

  • Define and track key performance metrics for deployed models.
  • Implement monitoring frameworks (e.g., Vertex AI Model Monitoring, logging, drift detection).
  • Analyze model behavior in production and proactively improve reliability and performance.
  • Collaborate with platform and infrastructure teams to ensure models meet scalability and compliance requirements.


Emerging AI Capabilities (Growth Area)

  • Contribute to the development of LLM-powered solutions where appropriate (e.g., knowledge retrieval, decision-support copilots).
  • Support implementation of Retrieval-Augmented Generation (RAG) pipelines using BigQuery and Vertex AI.
  • Assist in experimentation with agent-based workflows and modern orchestration frameworks as part of TAG’s evolving AI initiatives.
  • Stay current with advancements in Generative AI and evaluate their practical application to enterprise healthcare use cases.


Collaboration & Mentorship

  • Work cross-functionally with Product, Platform, Data and Software Engineering teams
  • Create clear documentation for models, pipelines, and systems.
  • Promote engineering best practices across data science and analytics teams.
  • Contribute to continuous improvement of TAG’s ML platform capabilities.


Qualifications

Required

  • Bachelor’s degree in computer science, data science, engineering, or related technical field with 3-5 years of experience in machine learning engineering, data science, or related technical role.
  • Strong proficiency in Python and ML frameworks (Scikit-learn, TensorFlow, PyTorch, etc.).
  • Experience building and deploying production-grade ML systems at scale.
  • Strong hands-on experience with: Google Cloud Platform (GCP), Vertex AI (training, pipelines, deployment, monitoring), BigQuery and data warehousing
  • Experience with distributed systems, model deployment, and API development.
  • Solid understanding of software engineering principles and system design.


Preferred

  • Experience with optimization algorithms or decision-support systems.
  • Familiarity with MLOps tooling (Airflow, MLflow, Kubeflow, etc.).
  • Exposure to Generative AI, LLM-based systems, or RAG architecture.
  • Familiarity with Kubernetes, Cloud Run, Dataflow, Pub/Sub.
  • Experience in healthcare or regulated environments.
  • Familiarity with responsible AI and governance best practices.



*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

  • A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match
Not Specified
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