Sr. Data & AI Platform Integration Architect - Raleigh, NC

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.   Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.   We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description   At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C, revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers. We set and achieve bold ambitions in our fight against the world’s most devastating diseases, united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come. As a Senior Data & AI Platform Integration Architect, at Gilead you will... Key Responsibilities:  Platform Governance Integration  Integrate governance policies and metadata into AWS and Databricks environments  Implement governance enforcement using AWS Lake Formation and Databricks Unity Catalog  Implement access controls, filtering policies, and data protection rules based on governance classifications  Integrate governance metadata and classifications from governance platforms into platform enforcement layers  Automate the enforcement of data access controls, privacy classifications, and data retention policies within data platforms.  Data Product Enablement  Partner with engineering teams to integrate governance requirements into data product onboarding processes  Support secure and governed consumption of enterprise data products across analytics and AI workloads  Ensure data products are onboarded with standardized governance enforcement patterns  Architecture & Integration Leadership  Collaborate with Governance Enablement and Governance Capabilities teams to ensure governance policies are operationalized and enforced  Define and implement platformlevel integration patterns that support governed analytics and AI access  Expand beyond traditional SQL-based data access toward AI-ready data products enriched with business context, metadata, and semantic definitions that enable intuitive discovery and interaction with enterprise data through natural language interfaces, AI-driven analytics tools, and emerging agentic AI systems.  Core Platform & Governance Integration  10+ years working with modern cloud data platforms and distributed data architectures.  Strong understanding of enterprise data governance principles and implementation patterns.  Experience integrating metadata, security policies, and access controls into data platforms.  Familiarity with modern data architecture patterns such as data products, data mesh, or domain-driven data architecture.  Cloud Data Platform Architecture  Strong working knowledge of AWS data services (Lake Formation, S3, Glue, Lambda, EventBridge, API Gateway) and Databricks (Unity Catalog, Delta Lake).  Experience implementing governance enforcement using platform native controls  Integration & Automation  Understanding of integration patterns including APIs, service architectures, and eventdriven systems  Proficiency in Python for integration and automation engineering  Architecture & Delivery Leadership  Architecture design experience defining and implementing highlevel integration patterns (e.g., Hub and Spoke, PeertoPeer, Data Federation)  Strong delivery skills in Agile/Scrum environments, including backlog management and ADR documentation  Role Summary:  The Senior Data & AI Platform Integration Architect is responsible for integrating data governance controls into the enterprise Data and AI platform to ensure that enterprise data products are secure, trusted, and ready to support analytics and AI workloads. This role focuses on embedding governance policies, metadata classifications, and access controls into the data platform so that governed data can be reliably consumed by analytics systems, AI models, and intelligent agents.    This role operates as a senior individual contributor and technical leader, setting platformlevel integration patterns and governance enforcement standards. While it does not have direct people management responsibility, it provides technical direction and design authority across multiple engineering and governance teams and manages vendor resources supporting platform integration and implementation. The role works at the intersection of governance, cloud data platforms, and emerging AI integration patterns.  To support trusted and AI-ready data products, the organization operates data governance through three complementary layers that ensure governance is defined, supported by technology, and enforced across the enterprise data and AI platform.    1. Governance Enablement   This layer activates governance practices across business domains by defining governance requirements such as critical data elements, metadata standards, data quality rules, and data classification. It ensures enterprise data products are properly described, governed, and aligned with business and regulatory needs.    2. Governance Capabilities   This layer provides the technology and operational capabilities that support governance across the enterprise. These capabilities enable metadata management, governance policy management, data quality monitoring, and trusted data product discovery.    3.Governance Integration   This layer ensures governance policies and metadata classifications are operationalized within the enterprise data and AI platform so that governed data can be reliably used for analytics and AI applications.    Together, these layers ensure enterprise data products are trusted, discoverable, and ready to support analytics and AI initiatives.    The Senior Data & AI Platform Integration Architect primarily operates within the Governance Integration layer, ensuring governance policies, metadata classifications, and access controls are embedded directly within the enterprise data and AI platform.    This role collaborates closely with Governance Enablement teams and Governance Capability teams to ensure governance definitions are consistently implemented across cloud data platforms and data product workflows.  About Our Data & AI Platform  Our organization operates a modern enterprise data and AI ecosystem designed to enable trusted, governed AI-ready data products that support advanced analytics and emerging AI-driven use cases.  The platform is based on a data mesh architecture, where business domains publish reusable data products that can be securely discovered and consumed across the enterprise.  Our enterprise data and AI platform technology stack includes:  • AWS and Databricks forming the enterprise cloud data and AI platform  • Informatica Intelligent Data Management Cloud (IDMC) supporting metadata management, data marketplace, governance policies, and business data quality rules  • IDMC Master Data Management (MDM) and Reference Data Management (RDM) managing core enterprise business entities  Enterprise data governance plays a central role in this ecosystem by ensuring that data products are trusted, well-documented, and governed for responsible use across analytics and AI initiatives.  As the platform evolves, we are expanding beyond traditional SQL-based data access toward AI-ready data products enriched with business context, metadata, and semantic definitions. These capabilities enable intuitive discovery and interaction with enterprise data through natural language interfaces, AI-driven analytics tools, and emerging agentic AI systems.  Basic Qualifications  Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years' Experience Preferred Qualifications  Experience with AWS Lake Formation governance controls  Experience with Databricks Unity Catalog governance capabilities  Familiarity with governance platforms such as Informatica IDMC  Experience supporting analytics and AI workloads in cloud data platforms  Strong knowledge of API design patterns (REST, GraphQL, gRPC) and API management platforms (AWS API Gateway, Apigee, MuleSoft, or equivalent)   Experience with eventdriven architecture and message streaming platforms (Apache Kafka, Amazon MSK, EventBridge, SQS/SNS)   Experience designing integration solutions for AI/ML platforms or agentic architectures, including LLM API patterns and MCP based agent tooling   Familiarity with emerging AI and agent integration patterns   Working knowledge of AI assisted software development tools (GitHub Copilot, Claude, or equivalent)  People Leader Accountabilities: •Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. •Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop and realize their purpose. •Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem.     The salary range for this position is: $146,200.00 - $189,200.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: https://www.gilead.com/careers/compensation-benefits-and-wellbeing * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the  legal duty to furnish information; or (d) otherwise protected by law.   Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday.