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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Manager, IT Data Engineering - **Company:** Gilead Sciences Inc. - **Location:** Raleigh, NC, United States - **Experience:** Expert - **Salary:** $146,200.0 - $189,200.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Architectural Patterns, ARM Architecture, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Systems, Cursor (Graphical User Interface Elements), Github, Identity and Access Management, Python (Programming Language), Key Management, SQL Databases, System Programming, Tableau (Software), TypeScript, Data Storage Management, Enterprise Software Applications, Cloud Platform System, Test-Driven Development (TDD), GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Containerization, Information Technology, Low Latency, Enterprise Integration, Machine Learning Operations, Data Pipelines, Docker, Databricks - **Published:** August 18, 2026 - **Apply:** https://gilead.wd1.myworkdayjobs.com/gileadcareers/job/United-States---North-Carolina---Raleigh/Sr-Manager--IT-Data-Engineering_R0054145-1 ## About the Role Bachelor's or master's degree in computer science, Data Engineering, Data Science, or a related field, or equivalent practical experience., 3-6+ years of experience in Data Engineering, with a proven track record of designing and deploying data pipeline solutions at scale. At least 2+ years of experience building complex data science, AI/ML, or large-scale analytics solutions. Programming Proficiency in Python and SQL; familiarity with TypeScript/JavaScript or a systems programming language such as Go or Rust. Experience with Test-Driven Development (TDD), CI/CD pipelines, and modern software engineering best practices. CI/CD & Infrastructure Experience with CI/CD platforms (e.g., GitHub Actions), containerization technologies (Docker), infrastructure-as-code principles, and cloud-native architecture patterns. Cloud Platforms Hands-on experience building and operating data and AI platforms on AWS, including services such as S3, Glue, Lambda, IAM, Bedrock, and Databricks Unity Catalog. Experience designing secure, scalable, and production-grade cloud architectures is preferred. Data & BI Technologies Proficiency with Databricks (Spark), data orchestration platforms (Airflow), Tableau, Genie Spaces, and related business intelligence and analytics technologies. AI/Agent Tools Hands-on experience with AI coding tools (Claude Code, GitHub Copilot, Cursor, or equivalent) and Cortex AI or comparable LLM-serving platforms. Strong understanding of how large language models generate and reason about code, with practical experience in prompt engineering as an engineering discipline. Security & Compliance Strong understanding of data privacy, security, and regulatory requirements in healthcare environments. Experience with secrets management, audit controls, and compliance frameworks, including HIPAA, SOC 2, and 21 CFR Part 11. Systems Thinking Ability to design and operate systems that scale across both traditional ML infrastructure and emerging agentic AI architectures. Preferred Qualifications Domain Experience Experience supporting analytics and AI initiatives within Cell and Gene Therapy (CGT), oncology, rare disease, or specialty pharmaceutical organizations. Agent System Design Experience designing multi-agent workflows, orchestration patterns, and autonomous systems for enterprise applications. Familiarity with MCP (Model Context Protocol), agent interoperability frameworks, and AI governance best practices. Performance & Scalability Experience supporting high-throughput inference workloads, large-scale batch scoring, low-latency APIs, and horizontally scalable AI/agent platforms. Enterprise Integration Experience integrating enterprise platforms and related APIs to enable end-to-end business process automation and analytics workflows. ## Description The Delivery Lead for Kite represents a unique opportunity within the IT Data & AI Center of Excellence (CoE) to drive the adoption of Data, Analytics, and AI capabilities that accelerate Kite's mission of delivering life-changing therapies to patients. You will serve as the primary technical leader aligned to the G&A business function, including Finance, Procurement, IT Services, and other enterprise operations, driving business outcomes through hands-on execution and multidisciplinary expertise. In this role, you will build and deliver production-grade solutions, work directly with stakeholders to translate business needs into clear technical approaches, and operate with speed and agility in complex, fast-paced environments. This role requiring strong technical depth, credibility with senior stakeholders, industry expertise, and an entrepreneurial mindset to navigate ambiguity, solve complex challenges, and deliver sustained business impact over time., Architecture & Strategy * Design and implement scalable, secure, and high-performance data solutions across a cloud environment, including AWS and Databricks. * Define and enforce data engineering standards, best practices, and architectural patterns. * Collaborate with a highly motivated team to evaluate and integrate emerging technologies that enhance the capabilities of the data platform. Data Engineering * Design, develop, and maintain ELT pipelines using AWS services, Apache Airflow, and Databricks. * Drive platform evolution by identifying opportunities for AI-powered automation and implementing solutions that improve data workflows and operational efficiency. * Manage the development and maintenance of data models and schema designs to support efficient data storage, processing, and retrieval. * Lead schema evolution and data integration processes across source systems and target platforms. * Serve as a subject matter expert for internal stakeholders and business partners by addressing technical inquiries and providing strategic guidance. Governance & Quality * Implement and maintain robust data governance, security, and compliance frameworks. * Ensure data quality, security, and integrity through effective validation, cleansing, testing, monitoring, and issue-resolution processes. * Establish data quality metrics, service-level agreements (SLAs), and monitoring mechanisms to ensure the reliability and trustworthiness of enterprise data assets. * Ensure compliance with organizational policies and regulatory requirements related to data privacy, security, and retention. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)