Sr. Data & AI Platform Integration Architect Raleigh, NC

Gilead Sciences

Job Location:

Raleigh, WV - USA

Monthly Salary: $ 146200 - 189200

Posted on: 6 days ago

Vacancies: 1 Vacancy

Job Summary

At Gilead were creating a healthier world for all people. For more than 35 years weve 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 worlds biggest health challenges and our mission requires collaboration determination and a relentless drive to make a difference.

Every member of Gileads 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 were 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 worlds 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 SeniorData & 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 usingAWS Lake FormationandDatabricks 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

Automatethe 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 withGovernance Enablement and Governance Capabilitiesteams 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 yearsworking 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 ofAWS data services(Lake Formation S3 Glue LambdaEventBridge API Gateway) andDatabricks(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:

TheSeniorData & AI Platform Integration Architectis responsible forintegrating 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 roleoperatesas asenior individual contributor and technical leader settingplatformlevelintegration patterns and governance enforcement standards. While it does not have direct people management responsibility itprovides technical direction and design authority across multiple engineering and governance teamsand 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 organizationoperatesdata governance throughthree complementary layersthat 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 areproperly 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.

TheSenior Data & AI Platform Integration Architectprimarilyoperateswithin theGovernance Integrationlayer ensuring governance policies metadata classifications andaccess controls are embedded directly within the enterprise data and AI platform.

This role collaborates closely withGovernanceEnablementteams andGovernanceCapabilityteams to ensure governance definitions are consistently implemented across cloud data platforms and data product workflows.

About Our Data& AIPlatform

Our organizationoperatesa 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 adata 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 Databricksforming 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 playsa central rolein 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 towardAI-ready data products enriched with business context metadata and semantic definitions.These capabilitiesenable intuitive discovery and interaction with enterprise data through natural language interfaces AI-driven analytics tools and emerging agentic AI systems.

Basic Qualifications

Bachelors Degree and Eight Years Experience

Masters Degree and Six Years Experience

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 (RESTGraphQLgRPC) and API management platforms (AWS API Gateway Apigee MuleSoft or equivalent)

Experience with eventdriven architecture and message streaming platforms (Apache Kafka Amazon MSKEventBridge 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: $146200.00 - $189200.00. 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:

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 disabilitygenetic 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 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 for assistance.

For more information about equal employment opportunity protections please view theKnow 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.

Required Experience:

Senior IC