Simplicity Patterns Jobs in Usa

HCLTech is looking for a highly talented and self- motivated [AI Success Engineer] to join it in advancing the technological world through innovation and creativity.

Job Title: [AI Success Engineer]

Job ID: (70183)

Position Type: Full-time

Location: Dallas, New jersey, Santa Clara, Seattle

Background:

Role Title

AI Success Engineer – Enterprise Technical Success (OpenAI / ChatGPT / Agents / API)

Location: Dallas, Santa Clara, Seattle, New jersey, Houston

Role Summary

AI Success Engineers are the primary post-sale technical owners for customer outcomes. They operate as trusted technical advisors who ensure customers deploy, adopt, and scale OpenAI capabilities into real workflows with measurable business value.

This role blends technical depth, program leadership, customer advisory, and product influence—driving account health, adoption velocity, and production readiness across OpenAI’s platform suite.

Key Responsibilities

1. Post-Sale Technical Ownership & Account Health

• Own technical success for a portfolio of strategic enterprise customers

• Act as customer-facing technical lead across deployment, adoption, and value realization

• Define and drive customer adoption roadmaps with milestones and KPIs

• Maintain strong stakeholder relationships across executive and practitioner levels

2. Workflow Discovery & Use Case Strategy

• Embed with customer teams to map workflows, pain points, and success criteria

• Identify, validate, and prioritize high-impact use cases

• Guide use case sequencing from prototype → pilot → production → scale

3. Deployment Readiness & Technical Enablement

• Guide architecture configuration and platform setup (SSO/SCIM, RBAC, connectors, etc.)

• Advise on integration patterns (RAG, tool calling, agents, evaluations)

• Run technical enablement sessions spanning ChatGPT Enterprise, API, agents, Codex as applicable

4. Program Coordination & Cross-Functional Navigation

• Coordinate account workstreams across Architecture, Adoption, Engineering, and Delivery teams

• Surface technical blockers and field patterns; escalate strategically to internal experts

• Feed customer insights into roadmap and platform improvement loops

5. Value Measurement & Reporting

• Define baselines, KPI frameworks, and post-deployment reporting

• Track adoption depth, usage health, and business impact outcomes

• Support expansion by identifying new workflows and growth paths

What Success Looks Like (6–12 months)

• Multiple use cases are in production and actively used

• Adoption expands in breadth and depth across teams and workflows

• Customer demonstrates measurable impact and repeatable deployment patterns

• Technical risks are anticipated early and mitigated proactively

Required Skills & Qualifications

• 8+ years in technical customer-facing roles (solutions engineering, customer architecture, technical delivery leadership, applied AI deployment)

• Hands-on understanding of GenAI systems: APIs/SDKs, retrieval, evals, agentic patterns, tradeoffs

• Familiarity with enterprise security (SSO, encryption, compliance frameworks)

• Comfortable with Python/JavaScript and working with REST APIs, cloud platforms

Nice-to-Have

Strongly Preferred

• Direct experience with OpenAI products and enterprise adoption programs

• Experience operating multi-workstream programs in complex enterprise environments

• Strong product instincts: turning field signals into structured feedback

Pay and Benefits

Pay Range Minimum: $ 230000 per Year

Pay Range Maximum: $ 280000 Per Year

HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

It All Starts with Our People

As the leader in automotive preventive maintenance, Valvoline has a proven track record of growth. We continue to invest in our people, processes, and technology to strengthen our ability to efficiently deliver Quick, Easy, Trusted service across all our stores – every day. We're not just in the car business; we're in the people business. And we're looking for humble, hungry, and smart people to help us shape the future of mobility. If you're hungry to drive change and seek a dynamic, collaborative environment that fuels both personal and professional growth, you've found your place with us.

Our highest priority is creating a welcoming workplace with team members from a wide variety of diverse backgrounds and experiences.

How You'll Make a Difference

Valvoline has a rewarding opportunity as a Director of Analytics & AI. As theDirector of Analytics & AI, you’ll be responsible for the technical execution, scalability, and enterprise adoption of the company’s data and AI platforms. This role leads the engineering teams that build and operate the data fabric, analytics enablement tools, and AI assisted workflows that power analytics, automation, and decision-making across the business.

This leader is hands-on with architecture and execution, accountable for how data and AI tools are delivered, adopted, and operationalized, and serves as the bridge between platform engineering and business enablement. The role partners closely with product, engineering, cyber-security, analytics, and business leaders to ensure that data and AI capabilities are usable, trusted, and embedded into everyday workflows—not just built.

Key Responsibilities

Data Platform & Fabric Execution

• Own the design, build, and evolution of the enterprise data fabric, leveraging a combination of AWS & SAP data services and Databricks.
• Ensure scalable, secure, and cost-effective ingestion, transformation, and serving of data across domains.
• Drive engineering standards for data quality, observability, lineage, and reliability.

AI & Agentic Tooling Adoption

• Lead the integration of agentic and AI‑assisted tools into data engineering workflows, improving developer productivity, quality, and speed.
• Partner with AI platform and architecture efforts to operationalize AI capabilities (e.g., RAG‑based tools, MLOps/LLMOps patterns) as shared services.
• Establish repeatable patterns for safely introducing AI into engineering and analytics execution.

Self‑Service Analytics Enablement

• Own the Phase 2 design and execution plan for self‑service analytics across business units.
• Build and mature tooling, datasets, and patterns that enable business users and analysts to discover, trust, and use data independently.
• Ensure alignment between producer-owned data products and consumer analytics needs.

Enterprise Adoption & Change Leadership

• Drive adoption of data and AI tools across the organization, not just delivery.
• Partner with analytics, product, and business leaders to embed tools into real workflows.
• Establish feedback loops, usage metrics, and success measures to continuously improve platforms.

Engineering Leadership

• Lead, coach, and grow data engineering and platform engineering teams.
• Set technical direction, prioritize work, and ensure high standards of engineering quality.
• Collaborate with architecture, security, and infrastructure teams to align on standards and governance.

Company Culture & Leadership Expectations

We are building a people‑first, high‑performance culture that values clarity of purpose, strong execution, and continuous learning. Leaders are expected to model behaviors that reinforce trust, accountability, and collaboration while delivering meaningful business outcomes.

As a Director, you will be expected to:

• Lead with purpose and empathy, creating an environment where engineers and partners feel empowered to do their best work.
• Balance results with values, driving measurable outcomes while reinforcing how work gets done—not just what gets delivered.
• Foster a culture of learning and experimentation, especially as new data, analytics, and AI capabilities are introduced.
• Champion change and adoption, helping teams and business partners navigate transformation with clarity and confidence.
• Model modern technology leadership, emphasizing customer focus, automation, and disciplined execution across platforms and teams.

We believe the most successful leaders build capable teams, scalable systems, and shared ownership, ensuring that technology investments translate into real, sustained value for the business.

What You’ll Need to Succeed

Required Qualifications

• 10+ years of experience in data engineering, platform engineering, or analytics engineering roles.
• Proven experience leading enterprise‑scale data platforms (cloud‑based).
• Strong hands‑on knowledge of modern data stacks, including AWS & SAP data services and Databricks.
• Experience operationalizing AI or advanced analytics tooling in production environments.
• Demonstrated ability to drive adoption, not just delivery, of technical platforms.
• Our company supports remote work based in the continental US, but this role will have an expectation of at least one week of travel per month for in-person collaboration and occasionally more than one week.

Preferred Qualifications

• Experience with data mesh or data product operating models.
• Familiarity with MLOps / LLMOps patterns and AI governance considerations.
• Prior experience leading platform teams that support multiple business units.
• Must be authorized to work in the U.S.

We Take Care of the WHOLE You

• Health insurance plans (medical, dental, vision)
• HSA and flexible spending accounts
• 401(k)
• Incentive opportunity*
• Life insurance
• Short and long-term disability insurance
• Paid vacation and holidays*
• Employee Assistance Program
• Valvoline Instant Oil Change discounts
• Tuition reimbursement*
• Adoption assistance*

*Terms and conditions apply, and benefits may differ depending on position.

Your Path to Valvoline

Valvoline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Join us in revolutionizing the automotive aftermarket industry while enjoying competitive benefits, a supportive work culture, and opportunities for advancement. Apply now and become an integral part of our journey at Valvoline.

The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided upon request to applicants with disabilities to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1.833.VVV.Report or email to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Generative AI Engineer/Agentic Engineer

You bring AI to life - one agent at a time. At BWE, we rely on you to build smart, adaptive systems that act on behalf of our teams, streamlining workflows and amplifying impact. As an Agentic Engineer, you turn complex business tasks into intelligent, automated solutions that drive efficiency across the enterprise. Your work helps us scale AI with confidence, creativity, and control.

Responsibilities:

• Design, build, and optimize autonomous or semi-autonomous AI workflows (agentic systems) using Microsoft Copilot, Power Automate, Copilot Studio, and third-party AI platforms.
• Translate complex business tasks into orchestrated, multi-step AI workflows that can act with minimal user input while maintaining accuracy and compliance standards.
• Develop and iterate intelligent assistants, copilots, and AI agents to automate business processes across origination, closing, servicing, and corporate functions.
• Collaborate with Business Partners and business units to test, refine, and scale agentic tools that drive measurable efficiency improvements and user adoption.
• Lead implementation of BWE's Scale Agentic AI initiative by identifying high-impact automation opportunities and deploying production-ready AI agents.
• Partner with AIOps Engineer to ensure agentic systems integrate properly with monitoring, governance, and optimization frameworks.
• Stay ahead of emerging agentic design patterns, orchestration technologies, and best practices while bringing forward innovative solutions to business challenges.
• Create reusable agentic templates and workflow patterns that enable citizen developers to build AI-powered automation within governance frameworks.
• Implement security and compliance controls for agentic systems ensuring adherence to financial services regulations and data privacy requirements.
• Research and experiment with innovative agentic AI technologies and platforms to enhance BWE's automation capabilities.
• Provide training and support to business users adopting agentic tools and automation workflows.
• Document agentic system architectures, decision logic, and operational procedures for knowledge transfer and maintenance.

Near-Term Deliverables:

• Build and deploy at least 3-5 production agentic systems that demonstrate significant business impact and operational efficiency gains.
• Establish agentic AI development framework including design patterns, testing methodologies, and deployment standards.
• Create a comprehensive library of reusable agentic components and workflow templates that accelerate automation deployment across business functions.
• Partner with Business Partners to identify and prioritize high-impact opportunities for agentic AI implementation with detailed business case analysis.
• Develop agentic system monitoring and optimization practices ensuring reliable performance, accuracy, and cost efficiency.
• Research and recommend emerging agentic AI platforms and technologies for potential adoption with hands-on evaluation and implementation guidance.
• Create citizen developer enablement materials including agentic workflow templates, training resources, and best practice guidelines.
• Establish agentic AI governance practices including approval workflows, risk assessment, and compliance validation procedures.
• Complete advanced training in agentic AI, workflow orchestration, or emerging automation technologies relevant to enterprise applications.
• Contribute to BWE's competitive advantage by pioneering innovative agentic use cases and automation strategies.

Minimum Qualifications:

• 5+ years of experience building AI-driven workflows, intelligent automation, or low-code/no-code solutions in enterprise environments.
• Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps), Microsoft Copilot Studio, and Large Language Model (LLM) integration.
• Strong grasp of prompt engineering, conversation design, logic flows, and business process optimization techniques.
• Experience with API integration, data transformation, and system connectivity for workflow automation.
• Knowledge of agentic AI concepts including multi-step reasoning, tool usage, and autonomous decision-making systems.
• Understanding of business process design, user experience principles, and change management for automation adoption.
• Bachelor's degree in Computer Science, Engineering, Business Technology, or related field, or equivalent work experience.
• Creative, fast-moving builder with prototyping mindset and deep understanding of user needs and business workflows.

Preferred Qualifications:

• Experience with advanced agentic AI platforms and orchestration tools beyond Microsoft ecosystem.
• Knowledge of machine learning, natural language processing, and conversational AI development.
• Familiarity with enterprise integration patterns, API management, and cloud-native application development.
• Experience in CRE, financial services, or regulated industries with complex compliance and audit requirements.
• Understanding of AI governance, responsible AI deployment, and risk management for autonomous systems.
• Previous experience leading automation initiatives or digital transformation projects.
• Knowledge of emerging technologies including multi-modal AI, autonomous agents, and AI orchestration platforms.

Job Title:Embedded Automation Engineer - Python

Location: Hillsboro, Oregon

Job Type: Full-Time

Job Description:

We are seeking a highly experienced Senior Automation Engineer to join our advanced software and embedded systems team. The ideal candidate will have deep expertise in Python automation (Pytest), Robot Framework, and QNX environments, with strong skills in UX/UI automation and testing. This role involves enhancing and migrating automation frameworks, debugging complex integrations, and working closely with cross-functional teams to deliver high-quality test automation solutions for embedded systems and entertainment platforms.

Key Responsibilities

Automation Framework Development

• Architect, develop, and maintain automation frameworks primarily using Python and Pytest.
• Lead migration of existing Robot Framework tests to Python/Pytest equivalents.
• Build reusable fixtures, utilities, wrapper layers, and automation components to support large test suites.

Test Execution & Optimization

• Analyze and interpret Robot Framework keyword libraries; enable efficient reuse within Python-based executions.
• Optimize hybrid execution flows involving both Pytest and Robot Framework assets.
• Execute and maintain UI and device automation tests using tools such as Appium, Selenium, or equivalent frameworks.

Cross-Layer Debugging & Integration

• Independently debug cross-layer automation issues involving Python, Robot Framework, device tools, and operating systems.
• Integrate automation frameworks with CI/CD pipelines and tools (e.g., Jenkins, GitLab, Azure DevOps).

Collaboration & Mentorship

• Mentor and guide junior automation engineers, establishing good coding practices, test design patterns, and quality standards.
• Work collaboratively with software engineers, product developers, and QA teams to enhance automation coverage and reliability.

System & Environment Interaction

• Work with QNX OS, virtualization systems (Hypervisor), and cloud environments (AWS).
• Engage with hardware interfacing (USB, Ethernet, multimedia interfaces) and hardware simulation/ fault-injection where applicable (nice-to-have).

Required Skills & Experience

• 7–10 years experience in automation engineering with 5+ years hands-on Python automation using Pytest.
• Practical experience with Robot Framework including keywords, variables, resources, and large keyword repositories.
• Strong skills in UI automation using tools such as Appium/Selenium.
• Solid understanding of modular test design and maintainable patterns (page-object, keyword patterns).
• Experience with QNX (Posix) operating system, virtualization (e.g., Hypervisor), and cloud-based environments (preferably AWS).
• Good understanding of Git, branching strategies, and CI/CD workflows.
• Proven ability to debug complex, multi-layered test automation environments.

Preferred Qualifications

• Exposure to embedded systems, aviation, or high-volume regression environments.
• Experience in framework migration, cross-framework interoperability, or keyword reuse models.
• Background in hardware interactions and media/UX systems (multimedia I/O, touch interactions).
• Familiarity with fault injection tools and hardware simulation techniques.
• Bachelor’s degree in Computer Science, Electronics, or related technical field.

Nice-to-Have Skills

• Hardware interfacing (USB, Ethernet), multimedia interfaces (touch, audio/video).
• Fault-injection and hardware simulation experience.
• Knowledge of peripheral communication protocols (e.g., GMSL, IP).

Job Title: Automation Engineer

Location: Hillsboro, Oregon

Job Type: Full-Time

Job Description:

We are seeking a highly experienced Senior Automation Engineer to join our advanced software and embedded systems team. The ideal candidate will have deep expertise in Python automation (Pytest), Robot Framework, and QNX environments, with strong skills in UX/UI automation and testing. This role involves enhancing and migrating automation frameworks, debugging complex integrations, and working closely with cross-functional teams to deliver high-quality test automation solutions for embedded systems and entertainment platforms.

Key Responsibilities

Automation Framework Development

• Architect, develop, and maintain automation frameworks primarily using Python and Pytest.
• Lead migration of existing Robot Framework tests to Python/Pytest equivalents.
• Build reusable fixtures, utilities, wrapper layers, and automation components to support large test suites.

Test Execution & Optimization

• Analyze and interpret Robot Framework keyword libraries; enable efficient reuse within Python-based executions.
• Optimize hybrid execution flows involving both Pytest and Robot Framework assets.
• Execute and maintain UI and device automation tests using tools such as Appium, Selenium, or equivalent frameworks.

Cross-Layer Debugging & Integration

• Independently debug cross-layer automation issues involving Python, Robot Framework, device tools, and operating systems.
• Integrate automation frameworks with CI/CD pipelines and tools (e.g., Jenkins, GitLab, Azure DevOps).

Collaboration & Mentorship

• Mentor and guide junior automation engineers, establishing good coding practices, test design patterns, and quality standards.
• Work collaboratively with software engineers, product developers, and QA teams to enhance automation coverage and reliability.

System & Environment Interaction

• Work with QNX OS, virtualization systems (Hypervisor), and cloud environments (AWS).
• Engage with hardware interfacing (USB, Ethernet, multimedia interfaces) and hardware simulation/ fault-injection where applicable (nice-to-have).

Required Skills & Experience

• 7–10 years experience in automation engineering with 5+ years hands-on Python automation using Pytest.
• Practical experience with Robot Framework including keywords, variables, resources, and large keyword repositories.
• Strong skills in UI automation using tools such as Appium/Selenium.
• Solid understanding of modular test design and maintainable patterns (page-object, keyword patterns).
• Experience with QNX (Posix) operating system, virtualization (e.g., Hypervisor), and cloud-based environments (preferably AWS).
• Good understanding of Git, branching strategies, and CI/CD workflows.
• Proven ability to debug complex, multi-layered test automation environments.

Preferred Qualifications

• Exposure to embedded systems, aviation, or high-volume regression environments.
• Experience in framework migration, cross-framework interoperability, or keyword reuse models.
• Background in hardware interactions and media/UX systems (multimedia I/O, touch interactions).
• Familiarity with fault injection tools and hardware simulation techniques.
• Bachelor’s degree in Computer Science, Electronics, or related technical field.

Nice-to-Have Skills

• Hardware interfacing (USB, Ethernet), multimedia interfaces (touch, audio/video).
• Fault-injection and hardware simulation experience.
• Knowledge of peripheral communication protocols (e.g., GMSL, IP).

Job Title: Senior Automation Engineer

Location: Hillsboro, Oregon

Job Type: Full-Time

Job Description:

We are seeking a highly experienced Senior Automation Engineer to join our advanced software and embedded systems team. The ideal candidate will have deep expertise in Python automation (Pytest), Robot Framework, and QNX environments, with strong skills in UX/UI automation and testing. This role involves enhancing and migrating automation frameworks, debugging complex integrations, and working closely with cross-functional teams to deliver high-quality test automation solutions for embedded systems and entertainment platforms.

Key Responsibilities

Automation Framework Development

• Architect, develop, and maintain automation frameworks primarily using Python and Pytest.
• Lead migration of existing Robot Framework tests to Python/Pytest equivalents.
• Build reusable fixtures, utilities, wrapper layers, and automation components to support large test suites.

Test Execution & Optimization

• Analyze and interpret Robot Framework keyword libraries; enable efficient reuse within Python-based executions.
• Optimize hybrid execution flows involving both Pytest and Robot Framework assets.
• Execute and maintain UI and device automation tests using tools such as Appium, Selenium, or equivalent frameworks.

Cross-Layer Debugging & Integration

• Independently debug cross-layer automation issues involving Python, Robot Framework, device tools, and operating systems.
• Integrate automation frameworks with CI/CD pipelines and tools (e.g., Jenkins, GitLab, Azure DevOps).

Collaboration & Mentorship

• Mentor and guide junior automation engineers, establishing good coding practices, test design patterns, and quality standards.
• Work collaboratively with software engineers, product developers, and QA teams to enhance automation coverage and reliability.

System & Environment Interaction

• Work with QNX OS, virtualization systems (Hypervisor), and cloud environments (AWS).
• Engage with hardware interfacing (USB, Ethernet, multimedia interfaces) and hardware simulation/ fault-injection where applicable (nice-to-have).

Required Skills & Experience

• 7–10 years experience in automation engineering with 5+ years hands-on Python automation using Pytest.
• Practical experience with Robot Framework including keywords, variables, resources, and large keyword repositories.
• Strong skills in UI automation using tools such as Appium/Selenium.
• Solid understanding of modular test design and maintainable patterns (page-object, keyword patterns).
• Experience with QNX (Posix) operating system, virtualization (e.g., Hypervisor), and cloud-based environments (preferably AWS).
• Good understanding of Git, branching strategies, and CI/CD workflows.
• Proven ability to debug complex, multi-layered test automation environments.

Preferred Qualifications

• Exposure to embedded systems, aviation, or high-volume regression environments.
• Experience in framework migration, cross-framework interoperability, or keyword reuse models.
• Background in hardware interactions and media/UX systems (multimedia I/O, touch interactions).
• Familiarity with fault injection tools and hardware simulation techniques.
• Bachelor’s degree in Computer Science, Electronics, or related technical field.

Nice-to-Have Skills

• Hardware interfacing (USB, Ethernet), multimedia interfaces (touch, audio/video).
• Fault-injection and hardware simulation experience.
• Knowledge of peripheral communication protocols (e.g., GMSL, IP).

Title: Technical Manager of Database Development/Architecture (Hands-on) (Onsite 4 days, N. Dallas Area)

Direct Hire Opportunity

No Sponsorship

Hybrid - 4 days onsite, 1 day remote

We are seeking an experienced hands-on leader of Data Development/Architecture to shape and execute the organization's enterprise data strategy. As a recognized expert in data architecture, this hands-on leader will bridge business objectives with technical solutions, delivering actionable insights, robust data architectures, and scalable analytics capabilities. The role requires strong partnership with stakeholders, proactive anticipation of needs, and hands-on leadership to guide solution delivery from concept through production support.

Requirements:

• Minimum 7+ years of progressive experience in data architecture, solution development, and leading IT/data initiatives within consumer products, e-commerce, retail, or comparable industries.
• Proven track record designing and delivering data management and analytics solutions in e-commerce, retail, sales, finance/accounting, and/or supply chain/warehousing environments.
• Exceptional analytical mindset with strong problem-solving skills; detail-oriented yet capable of maintaining strategic perspective. Adept at probing beyond surface-level requests to uncover true business needs.
• Deep expertise in data warehouse architecture (dimensional modeling, star/snowflake schemas) and data mining techniques.
• Hands-on experience as a SQL developer, data engineer, or data scientist building scalable solutions.
• Strong background architecting cloud-based data platforms (PaaS/SaaS), with emphasis on compute, storage, integration patterns, and connectivity.
• Demonstrated success designing and managing Microsoft Azure analytics ecosystems, particularly Azure Synapse Analytics, Microsoft Fabric, and related services.
• Solid understanding of software development lifecycle (SDLC), IT service management (ITSM), data privacy, and security principles.
• Effective project management skills with experience leading cross-functional initiatives.
• Outstanding technical writing and documentation abilities.
• Broad application development experience covering full lifecycle: requirements, design, build, test, deploy, and sustainment—including creation and upkeep of supporting documentation.
• Superior verbal and written communication skills; ability to adapt style and level of detail for executives, technical teams, and business users.
• Strong interpersonal and relationship-building capabilities.
• Proven capacity to juggle multiple priorities in a fast-paced environment.
• Self-directed with excellent follow-through and ability to execute against defined objectives.
• Meticulous attention to detail combined with a collaborative, team-first leadership approach.
• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business, or a closely related field and/or equivalent experience may be considered (Master's preferred, but not required).

Responsibilities:

• Define and execute comprehensive data management and governance strategies aligned with business priorities.
• Own the intake, prioritization, and lifecycle management of data and analytics requests from across the organization, ensuring timely delivery and clear stakeholder communication.
• Build, lead, and mentor a high-performing team of database engineers, Power BI developers, and analytics professionals.
• Utilize advanced data modeling techniques, AI/ML tools, and modern analytics platforms to unlock value from data.
• Establish and enforce standards for data quality, integrity, consistency, and accuracy.
• Oversee data storage architecture, access patterns, retrieval performance, and lifecycle management.
• Drive in-depth data analysis initiatives—working with large, complex datasets to uncover trends, patterns, and insights that inform strategic and operational decisions.
• Develop and manage budgets for personnel, tools, cloud resources, and related initiatives.
• Lead requirements gathering, solution design, unit/integration testing, issue resolution, and go-live support.
• Champion knowledge transfer, best practices, and reusable assets to accelerate delivery of data products and services that support company goals.
• Provide coaching, professional development, and performance guidance to direct reports.
• Maintain complete, up-to-date documentation for data warehouse processes, ETL pipelines, data models, and operational procedures.
• Design and automate operational dashboards, recurring reports, and self-service analytics capabilities.
• Collaborate cross-functionally to ideate, design, and implement innovative data handling approaches, platforms, and analytics solutions.
• Develop compelling data visualizations and storytelling presentations to communicate insights and recommendations to leadership and business partners.
• Translate complex findings and project objectives into clear, audience-appropriate communications.

Comprehensive Benefits Provided

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.

We are looking for an experienced engineer to drive post-silicon structural test debug and pattern optimization for high-volume production devices.

Key Responsibilities:

• Own post-silicon debug of ATPG, MBIST, and Boundary Scan patterns
• Analyze silicon failures and drive corrective actions with ATE and design teams
• Regenerate, validate, and release production-ready test patterns using Siemens DFT tools
• Correlate tester data with design intent to identify coverage gaps
• Improve yield, coverage, and overall test robustness