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OZ – Databricks Architect/ Senior Data Engineer

Note: Only applications from U.S. citizens or lawful permanent residents (Green Card Holders) will be considered.

We believe work should be innately rewarding and a team-building venture. Working with our teammates and clients should be an enjoyable journey where we can learn, grow as professionals, and achieve amazing results. Our core values revolve around this philosophy. We are relentlessly committed to helping our clients achieve their business goals, leapfrog the competition, and become leaders in their industry. What drives us forward is the culture of creativity combined with a disciplined approach, passion for learning & innovation, and a ‘can-do’ attitude!

What We're Looking For:

We are seeking a highly experienced Databricks professional with deep expertise in data engineering, distributed computing, and cloud-based data platforms. The ideal candidate is both an architect and a hands-on engineer who can design scalable data solutions while actively contributing to development, optimization, and deployment.

This role requires strong technical leadership, a deep understanding of modern data architectures, and the ability to implement best practices in DataOps, performance optimization, and data governance.

Experience with modern AI/GenAI-enabled data platforms and real-time data processing environments is highly desirable.

Position Overview:

The Databricks Senior Data Engineer will play a critical role in designing, implementing, and optimizing enterprise-scale data platforms using the Databricks Lakehouse architecture. This role combines architecture leadership with hands-on engineering, focusing on building scalable, secure, and high-performance data pipelines and platforms. The ideal candidate will establish coding standards, define data architecture frameworks such as the Medallion Architecture, and guide the end-to-end development lifecycle of modern data solutions.

This individual will collaborate with cross-functional stakeholders, including data engineers, BI developers, analysts, and business leaders, to deliver robust data platforms that enable advanced analytics, reporting, and AI-driven decision-making.

Key Responsibilities:

• Architecture & Design: Architect and design scalable, reliable data platforms and complex ETL/ELT and streaming workflows for the Databricks Lakehouse Platform (Delta Lake, Spark).
• Hands-On Development: Write, test, and optimize code in Python, PySpark, and SQL for data ingestion, transformation, and processing.
• DataOps & Automation: Implement CI/CD, monitoring, and automation (e.g., with Azure DevOps, DBX) for data pipelines.
• Stakeholder Collaboration: Work with BI developers, analysts, and business users to define requirements and deliver data-driven solutions.
• Performance Optimization: Tune delta tables, Spark jobs, and SQL queries for maximum efficiency and scalability.
• GenAI Applications Development: It is a big plus to have experience in GenAI application development

Requirements:

• 8+ years of experience in data engineering, with strong hands-on expertise in Databricks and Apache Spark.
• Proven experience designing and implementing scalable ETL/ELT pipelines in cloud environments.
• Strong programming skills in Python and SQL; experience with PySpark required.
• Hands-on experience with Databricks Lakehouse, Delta Lake, and distributed data processing.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP (Azure preferred).
• Experience with CI/CD pipelines, Git, and DevOps practices for data engineering.
• Strong understanding of data architecture, data modeling, and performance optimization.
• Experience working with cross-functional teams to deliver enterprise data solutions.
• Tackles complex data challenges, ensuring data quality and reliable delivery.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience designing enterprise-scale data platforms and modern data architectures.
• Experience with data integration tools such as Azure Data Factory or similar platforms.
• Familiarity with cloud data warehouses such as Databricks, Snowflake, or Azure Fabric.
• Experience supporting analytics, reporting, or AI/ML workloads is highly desirable.
• Databricks, Azure, or cloud certifications are preferred.
• Strong problem-solving, communication, and technical leadership skills.

Technical Proficiency in:

• Databricks, Apache Spark, PySpark, Delta Lake
• Python, SQL, Scala (preferred)
• Cloud platforms: Azure (preferred), AWS, or GCP
• Azure Data Factory, Kafka, and modern data integration tools
• Data warehousing: Databricks, Snowflake, or Azure Fabric
• DevOps tools: Git, Azure DevOps, CI/CD pipelines
• Data architecture, ETL/ELT design, and performance optimization

What You’re Looking For:

Join a fast-growing organization that thrives on innovation and collaboration. You’ll work alongside talented, motivated colleagues in a global environment, helping clients solve their most critical business challenges. At OZ, your contributions matter – you’ll have the chance to be a key player in our growth and success. If you’re driven, bold, and eager to push boundaries, we invite you to join a company where you can truly make a difference.

About Us:

OZ is a 28-year-old global technology consulting, services, and solutions leader specializing in creating business-focused solutions for our clients by leveraging disruptive digital technologies and innovation.

OZ is committed to creating a continuum between work and life by allowing people to work remotely. We offer competitive compensation and a comprehensive benefits package. You’ll enjoy our work style within an incredible culture. We’ll give you the tools you need to succeed so you can grow and develop with us and become part of a team that lives by its core values.

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Position : JAVA Solution Architect

Location : TX/NJ

Duration Long Term

As a Solution Architect, you will be an integral part of shaping the future of technology. This role requires deep technical expertise to translate complex business requirements into scalable, secure, and compliant technical solutions. You will serve as a bridge between business stakeholders and development teams, ensuring the delivery of high-quality, resilient systems that drive significant business impact.

Key Responsibilities

• Solution Design & Architecture: Lead the design and development of end-to-end enterprise solutions, including high-level and low-level design documents and architecture diagrams.
• Technology & Platform Selection: Select the appropriate technology stack, leveraging expertise in Java, Spring Boot, microservices architecture, and cloud platforms (AWS and Azure) to build robust, scalable, and cost-efficient applications.
• Cloud Migration & Integration: Drive cloud transformation initiatives, including migrating on-premises applications to the cloud and integrating complex systems.
• Security & Compliance: Ensure all solutions comply with the regulatory requirements (e.g., data privacy, security standards) and implement robust security measures, including identity and access management, encryption, and network security.
• Technical Leadership & Collaboration: Provide technical guidance and mentorship to development teams, conducting code and architecture reviews to ensure alignment with architectural principles and best practices. Collaborate with cross-functional teams, including business analysts and project managers, to align technical solutions with business goals.
• Innovation & Problem Solving: Evaluate new and emerging technologies, conducting proofs-of-concept (PoCs) to validate assumptions and drive continuous improvement in products, processes, and tools.

Qualifications and Skills

• Experience:
• 5+ years of relevant experience in a solution architecture or a lead engineering role within financial services or a related regulated industry.
• Proven experience in designing and delivering large-scale IT projects with hands-on experience in Java-based systems.
• Demonstrated experience running production applications in public cloud environments (AWS and/or Azure).
• Technical Skills:
• Proficiency in Java and Java frameworks (Spring, Spring Boot).
• Strong DB Design (RDBMS, NoSQL) abilities
• Strong knowledge of microservices, event-driven architecture (e.g., Kafka), and RESTful API design.
• Experience with cloud services (compute, networking, databases, security) and containerization technologies (Docker, Kubernetes).
• Familiarity with DevOps practices and CI/CD pipelines.
• Soft Skills:
• Excellent communication, presentation, and stakeholder management skills, with the ability to translate complex technical concepts for non-technical audiences.
• Strong analytical, problem-solving, and decision-making abilities.
• A proactive, self-motivated mindset with the ability to work through ambiguous requirements in an agile environment.

Preferred Certifications

• AWS Certified Solutions Architect (Associate or Professional)
• Microsoft Certified: Azure Solutions Architect Expert

Best Regards,

Deepak Gulia

Sr. Talent Acquisition-USA

100 Campus Drive, Suite 420, Florham Park, NJ 07932

| | ://

** Infrastructure PM Role **

** Candidate Should have Public Sector Experience **

Mandatory Qualifications:

1. Bachelor’s degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field.
2. Seven (7) years of experience managing IT infrastructure projects, including planning, execution, monitoring, and successful delivery.
3. Three (3) years of experience working with State of California departments, agencies, or public sector organizations.
4. Five (5) years of experience managing infrastructure modernization projects, including one or more of the following:

• Cloud migration initiatives
• Data center modernization
• Server and storage infrastructure upgrades
• Network infrastructure projects
• Disaster recovery and business continuity planning

5. Three (3) years of experience managing AWS cloud infrastructure projects, including:

• Cloud migration strategy
• AWS architecture coordination
• Infrastructure automation
• Cloud security and compliance

6. Five (5) years of experience using formal project management methodologies, such as:

• PMBOK
• Agile / Scrum

Desirable Qualifications

1. PMP (Project Management Professional) Certification.
2. AWS Certifications, such as:

• AWS Certified Solutions Architect
• AWS Certified Cloud Practitioner
• AWS Certified DevOps Engineer

1. Experience working with California Department of Technology (CDT) Project Approval Lifecycle (PAL).
2. Experience preparing and managing State project documentation, including:

• Feasibility Study Report (FSR)
• Special Project Report (SPR)
• Project Approval Lifecycle (PAL) documentation
• Statement of Work (SOW)
• Request for Offer (RFO)

1. Experience with IT Service Management frameworks (ITIL).
2. Experience managing large-scale cloud transformation programs within government environments.

Job title : Principal Program Manager

Location : Austin, Texas, United States

Type : Full time

Our client is seeking a highly experienced Principal Program Manager to oversee large‑scale, complex infrastructure programs supporting global cloud customers. This senior‑level role is ideal for someone who excels at cross‑functional leadership, technical program execution, and customer‑facing delivery within modular data center and rack integration environments.

What You’ll Do

Customer Program Leadership

• Serve as the primary point of contact for strategic cloud customers, ensuring expectations are met through proactive communication, rapid issue resolution, and high‑quality execution.
• Lead multidisciplinary teams and external partners to deliver customized infrastructure solutions that align with customer needs and business objectives.

Modular & Integrated Infrastructure Execution

• Direct the end‑to‑end lifecycle of Modular Data Center (MDC) programs, including design planning, build oversight, system configuration, full testing cycles, and global deployment.
• Manage complete rack integration projects from concept through global delivery, ensuring performance, quality, and scalability requirements are achieved.

Enterprise Cloud Infrastructure Delivery

• Design and deliver bespoke cloud infrastructure solutions for large enterprises, ensuring technical alignment and seamless implementation across multiple environments.

Global Operations & Coordination

• Partner closely with engineering, supply chain, procurement, logistics, and global integration centers to ensure smooth program execution and on‑time delivery.
• Guide cross‑functional teams—including Operations, Procurement, Logistics, and Customer Care—through program milestones and post‑deployment support activities.

Technical Program Oversight

• Oversee technical design, assembly, and validation of rack solutions and modular infrastructure builds.
• Ensure all systems meet performance, reliability, and quality benchmarks before deployment.

Operational & Delivery Excellence

• Champion continuous improvement in process workflows, risk mitigation, and global program execution.
• Own program timelines, schedules, and resource plans to ensure all commitments and milestone dependencies are managed effectively.

What You’ll Need to Succeed

• Bachelor’s degree in Engineering, Business, or related field; a Master’s degree is preferred.
• 12–15+ years of technical program management experience involving rack integration, modular data centers, or cloud infrastructure.
• Demonstrated success managing large, global programs in customer‑facing environments.
• Strong ability to lead matrixed teams and collaborate across engineering, operations, supply chain, and executive stakeholders.
• Deep expertise in modular data center design, rack‑level system integration, and large‑scale cloud infrastructure.
• Outstanding communication, leadership, and stakeholder‑management skills.
• PMP certification or similar program management credentials are a plus.

Benefits Package

Our client offers a comprehensive benefits program, including:

• Competitive base salary
• Annual bonus
• Medical, dental, vision, and prescription coverage (HRA/HSA options available)
• 401(k) match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition reimbursement
• Life, AD&D, and disability insurance
• Commuter benefits
• Employee Assistance Program
• Pet insurance
• Adoption assistance
• Annual merit increases
• Opportunities to participate in community volunteer programs

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

• 
  
• The Business Systems Analyst (BSA) will support client's enterprise Identity & Access Management (IAM) transformation. This includes:
  
• WIAM migration activities (metadata and certificate updating, coordination with client applications, etc)
  
• PingFederate to PingOne Advanced Identity Cloud (AIC) modernization
  
• Access governance improvements (who has access to what, and why)
  
• Cross?platform identity initiatives spanning Security Services
  
• This role bridges business needs and engineering delivery by ensuring work is clearly defined, well documented, properly tracked, and delivered with strong testing and governance.
  

• 
  
• SAML certificate lifecycle coordination
  
• SAML = Security Assertion Markup Language (a standard for single sign-on)
  
• Coordinating certificate rotation across multiple applications, environments, and vendors
  
• Tracking owners, dates, dependencies, and cut over steps in structured trackers (e.g., Excel)
  
• SAML connection migration planning and execution support
  
• Helping move Identity Provider (IdP) connections from legacy federation to modern platforms
  
• IdP = Identity Provider (system that authenticates users)
  
• Migration readiness and execution tracking
  
• Requirements capture, integration mapping, status reporting, and risk/dependency management
  
• Documentation at scale
  
• Maintaining living runbooks and migration guidance in Confluence
  
• Keeping Jira work items audit-ready with clear ownership and due dates
  

• 
  
• IAM Program & WIAM Migration Support
  
  
  • 
    
  • Support engineering teams migrating PingFederate connections to PingOne Advanced Identity Cloud (AIC) and Microsoft Entra ID
    
  • Entra ID = Microsoft's cloud identity service (formerly Azure AD)
    
  • Track milestones and deliverables across workstreams, including:
    
  • Certificate updates and expirations
    
  • RBAC updates
    
  • RBAC = Role-Based Access Control (access is granted by role)
    
  • Compliance-driven tasks and evidence
    
  • Coordinate dependencies across multiple IAM workstreams to prevent bottlenecks
    
  • Conduct impact analysis of technology changes on business processes and IAM systems
    
  • Provide system and business process support across multiple IAM program engagements
    
  
  
  
• Business Analysis & Delivery Coordination
  
  • 
    
  • Plan, elicit, capture, analyze, and validate requirements for IAM initiatives:
    
  • Business requirements (what is needed)
    
  • Functional requirements (what the solution must do)
    
  • Technical requirements (how it integrates and operates)
    
  • Document and assess current-state IAM processes, integrations, and access models
    
  • Maintain rigorous Jira notes including:
    
  • Ownership, due dates, constraints, risks, dependencies, and decisions
    
  • Maintain accurate, iterative Confluence documentation for all IAM projects
    
  • Assist with data models and interface specifications where needed for IAM systems
    
  • Log system and process changes using approved change management tools (e.g., FastTrack)
    
  • Ensure IAM changes are properly tested before deployment
    
  • Coordinate UAT and functional testing
    
  • UAT = User Acceptance Testing (business confirms the solution meets needs)
    
  
  
  
• Meeting & Stakeholder Management
  
  • 
    
  • Facilitate discussions between engineering, security architecture, business stakeholders, and program leadership
    
  • Support collaborative system and data design sessions with users and technical teams
    
  • Coordinate meetings responsibly (e.g., avoid conflicts with Agile ceremonies)
    
  • Summarize meetings with clear action items and track accountability
    
  • Present complex IAM options and tradeoffs in a clear, decision-supporting way
    
  
  
  
• ???Quality, Documentation & Governance
  
  • 
    
  • Ensure IAM changes and access-control updates are properly authorized by management
    
  • Handle confidential identity-related information professionally and securely
    
  • Support compliance needs, including IAM controls, audit readiness, and certificate expiration management
    
  • Ensure documentation is clear, complete, current, and aligned to corporate standards
    
  • Adhere to corporate policies, procedures, and IAM governance requirements
    
  
  
  

• 
  
• Core Experience (Required)
  
  • 
    
  • Proven experience (1+ years) as an IT Business Analyst / Business Systems Analyst supporting complex corporate environments
    
  • Extensive experience with large scale migrations or updates across multiple organizations and third party vendors
    
  • Hands-on experience with IAM concepts and platforms, such as:
    
  • Federation and SSO
    
  • SSO = Single Sign-On (one login for multiple apps)
    
  • SAML and certificates
    
  • RBAC
    
  • Directory technologies (e.g., LDAP/AD concepts)
    
  • Strong understanding of SDLC and testing methods
    
  • SDLC = Systems Development Life Cycle (plan build test deploy support)
    
  • Demonstrated ability to manage and track multiple simultaneous workstreams with high attention to detail
    
  
  
  
• Technical & Analytical Skills (Required)
  
  • 
    
  • Strong Excel skills for tracking plans, owners, timelines, and dependencies
    
  • Ability to review/analyze data sets and system outputs; familiarity with ODBC is a plus
    
  • ODBC = Open Database Connectivity (standard way to connect to databases)
    
  • Ability to produce process documentation that is structured and easy to follow
    
  • Strong experience with Scrum/Agile delivery tools (e.g., Jira and Confluence)
    
  
  
  
• Behavioral & Professional (Required)
  
  • 
    
  • Strong stakeholder management and the ability to influence with data-driven reasoning
    
  • Highly organized multitasker with attention to detail
    
  • Energetic, engaging, and collaborative working style
    
  • Demonstrates professionalism and ethical conduct in all interactions
    
  
  
  
• Education / Background
  
  • 
    
  • BA/BS in Business, Computer Science, or related field OR equivalent experience (e.g.,
    
  • 10+ years comparable experience)
    
  • Compliance familiarity (security, audit, access control) strongly preferred
    
  • Prior experience in Identity & Access Management, Security, or similar field
    
  
  
  

• 
  
• Required (Day 1 Readiness)
  
  • 
    
  • Jira (work tracking, user stories, acceptance criteria)
    
  • Confluence (documentation, runbooks, migration guidance, decision logs)
    
  • Servicenow (ticketing and request flows)
    
  • Excel (tracking owners, dependencies, milestones, certificate rotations, cutover plans)
    
  • SAML / certificates (baseline understanding of certificate rotation impacts and coordination)
    
  • Working knowledge of at least one identity platform:
    
  • PingFederate (legacy federation) and/or
    
  • PingOne Advanced Identity Cloud (AIC) and/or
    
  • Microsoft Entra ID
    
  
  
  
• Nice to Have (Accelerators)
  
  • 
    
  • Visio / Miro (process flows, integration diagrams)
    
  • Splunk familiarity or other log query experience
    
  • SharePoint (document management / collaboration)
    
  • Microsoft Project / Project Server (formal project plans and dependencies)
    
  • Change management tooling (e.g., FastTrack)
    
  • Scripting familiarity (e.g., Python) for light automation or data validation
    
  • eCommerce domain exposure (rare, but beneficial in some integration scenarios)
    
  
  
  

• 
  
• Preferred
  
  • 
    
  • Security/IAM adjacent certification (any of the below are helpful)
    
  • CISSP
    
  • Security+ (baseline security knowledge)
    
  • Identity-focused training/certificates (Ping/Microsoft identity learning paths)
    
  
  
  
• Nice to Have
  
  • 
    
  • CBAP / CCBA (IIBA Business Analysis certifications)
    
  • CBAP = Certified Business Analysis Professional
    
  • CCBA = Certification of Capability in Business Analysis
    
  • Agile certification (CSM, PSM, or equivalent)
    
  • CSM = Certified ScrumMaster
    
  • PSM = Professional Scrum Master
    
  • Cloud fundamentals (Azure fundamentals or similar)
    
  • Testing certifications (ISTQB or equivalent)
    
  • ISTQB = International Software Testing Qualifications Board
    
  
  
  

• 
  
• Day to Day
  
  
  • 
    
  • Lead the design and development of advanced Genesys Cloud Architect workflows (IVR, digital, routing, NLU-driven call flows).
    
  • Produce high-quality technical and functional documentation, including FRDs, workflow diagrams, and integration specifications.
    
  • Participate in and/or lead discovery and design workshops with business and technical stakeholders.
    
  
  
  
• Responsible for analysis, design, programming, and implementation of complex applications tasks and projects.
  
• Devise feasible, logical procedures to resolve business problems through the use of computer resources.
  
• Formulate scope and objectives through research to develop or modify complex systems.
  
• Review detailed specifications and recommend modifications. Design, code, test and debug complex application programs.
  
• 20% Produce deliverables related to the assigned project.
  
• Perform analysis, design, programming, and implementation of systems and procedures to solve complex business or scientific problems.
  
• Evaluate interrelationships in immediate programming area to determine how changes in one program will affect another related area.
  
• Apply conversions and enhancements to business systems.
  
• May lead or provide expertise on assigned projects.
  
• 20% Work closely with customers, business analysts, and team members to understand business requirements that drive the analysis and design of quality technical solutions.
  
• Ensure solutions are aligned with business and IT strategies and comply with the organization's architectural standards.
  
• Assist in post-implementation support and system enhancements.
  
• 20% Test modified programs, create necessary test files and data, verify logic, debug, and write relevant documentation.
  
• 15% Design and develop IT systems. Devise new sources of data and develop new approaches and techniques.
  
• Involved in the full systems life cycle and is responsible for designing, coding, testing, implementing, maintaining and supporting complex application software that is delivered on time and within budget.
  
• 15% Provide guidance to lower-level programmers/analysts.
  
• Act as an internal consultant by providing technical guidance on complex projects.
  
• Determine and resolve problems with other systems analysts, programmers, and systems users.
  
• 10% Test designed programs, verify logic, perform any necessary "debugging," and write the documentation
  

• 
  
• Genesys Cloud
  
• Java Script, Python, or Node.Js
  
• REST APIs, JSON, and service integrations
  
• Hands-on experience with cloud platforms (AWS preferred)
  

• 
  
• Genesys Certifications such as:
  
• Genesys Cloud CX Developer (CCX GCD)
  
• Genesys Cloud CX Architect (GCX ARC)
  
• Lucid Charts or other workflow modeling tools.
  

• 
  
• Comprehensive understanding of applications/development, quality assurance and integration methodologies, concepts and facilities in a mainframe, midrange, and/or PC/LAN environment.
  
• Demonstrates a high level of technical proficiency in the areas of programming languages, platform capabilities, and methods of systems analysis and program design.
  
• Excellent analysis, decision-making, and problem solving skills.
  
• Demonstrates logical abstract thinking and assimilating/adhering to project goals and deadlines.
  
• Ability to communicate effectively verbally and in writing.
  
• Able to work well under pressure and as part of a team.
  
• Strong knowledge of interpersonal skills/team building.
  
• Familiar with project management concepts.
  
• Ability to assess requirements, alternatives, and risks/benefits for low- to high-impact projects.
  
• Pays attention to detail.
  
• Ability to establish and maintain effective working relationships with employees, clients, vendors etc.
  
• In-depth understanding of organizational functions, behavior, and inter-relationships.
  

• 
  
• Comprehensive knowledge of relevant operating systems, programming languages, and development tools and their usage in the company.
  

• 
  
• Customer-focused, project-oriented programming environment.
  
• Fast paced, multi-platformed environment which may require action and response 24X7 to support the technical business needs of the customer.