Data Architect II

The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.

Onyx is a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI / ML and analysis platforms, all geared toward :

Building a next‑generation, metadata‑ and automation‑driven data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on “data mechanics”

Providing best‑in‑class AI / ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent

Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real‑time

The Onyx Data Architecture team sits within the Data Engineering team, which is responsible for the design, delivery, support, and maintenance of industrialized automated end‑to‑end data services and pipelines. They apply standardized data models and mapping to ensure data is accessible for end users in end‑to‑end user tools through use of APIs. They define and embed best practices and ensure compliance with Quality Management practices and alignment to automated data governance. They also acquire and process internal and external, structured and unstructured data in line with Product requirements.

As a Data Architect II, you’ll apply your expertise in big data and AI / GenAI workflows to support GSK’s complex, regulated R&D environment.

You’ll contribute to designing Data Mesh / Data Fabric architectures while enabling modern AI and machine learning capabilities across our platform.

You will be responsible for…

Partner with the Scientific Knowledge Engineering team to develop physical data models to build fit‑for‑purpose data products

Design data architecture aligned with enterprise‑wide standards to promote interoperability

Collaborate with the platform teams and data engineers to maintain architecture principles, standards, and guidelines

Design data foundations that support GenAI workflows including RAG (Retrieval‑Augmented Generation), vector databases, and embedding pipelines

Work across business areas and stakeholders to ensure consistent implementation of architecture standards

Lead reviews and maintain architecture documentation and best practices for Onyx and our stakeholders

Adopt security‑first design with robust authentication and resilient connectivity

Provide best practices and leadership, subject matter, and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors.

Why you?

Basic Qualifications :

We are looking for professionals with these required skills to achieve our goals :

Bachelor’s degree in computer science, engineering, Data Science or similar discipline

5+ years of experience in data architecture, data engineering, or related fields in pharma, healthcare, or life sciences R&D.

3+ years’ experience of defining architecture standards, patterns on Big Data platforms

3+ years’ experience with data warehouse, data lake, and enterprise big data platforms

3+ years’ experience with enterprise cloud data architecture (preferably Azure or GCP) and delivering solutions at scale

3+ years of hands‑on relational, dimensional, and / or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)

Preferred Qualifications :

If you have the following characteristics, it would be a plus :

Master’s or PhD in computer science, engineering, Data Science or similar discipline

Deep knowledge and use of at least one common programming language : e.g., Python, Scala, Java

Experience with AI / ML data workflows : feature stores, vector databases, embedding pipelines, model serving architectures

Familiarity with GenAI / LLM data patterns : RAG architectures, prompt engineering data requirements, fine‑tuning data preparation

Experience with GCP data / analytics stack : Spark, Dataflow, Dataproc, GCS, BigQuery

Experience with enterprise data tools : Ataccama, Collibra, Acryl

Experience with Agile frameworks : SAFe, Jira, Confluence, Azure DevOps

Experience applying CI / CD principles to data solution

Experience with Spark and RAG‑based architectures for data science and ML use cases

Strong communication skills—ability to explain technical concepts to non‑technical stakeholders

Pharmaceutical, healthcare, or life sciences background

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• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $109,725 to $182,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver / parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas : respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at HR.AmericasSC‑CS@gsk.com where you can also request a call.

Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

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