US Data Products Solution Architect - RDT Pharma Medicines
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The Position
Job description
We are looking for a Hands-on Data Architecture & Delivery Lead to define and lead the architecture of the data solution for our US Commercial pharma business. You will set the technical direction for how commercial data (claims, sales, specialty pharmacy, payer, CRM, patient services) is ingested, governed, modeled, and served to analytics, AI, and field-facing applications. You'll own both the platform (the shared foundation) and the solutions (the architecture for specific commercial use cases). You will guide engineering teams, work with business and IT leaders, and keep the platform secure, compliant, scalable, and cost-effective.You will lead others to solve complex problems, maintain the vision and roadmap for multiple solutions, provide technical oversight to product teams, and evaluate new technologies to continuously improve existing solutions and manage technical debt. In this role, you will design solutions that meet product requirements, business priorities, and enterprise standards while managing non-functional requirements (NFR) and fitness functions.
Job Responsibilities
Scope / (Content Leadership): Designs solutions that meet product requirements, business priorities, and enterprise standards. Manages Non-Functional Requirements (NFR) and fitness functions. Documents and evolves the architecture throughout the product life cycle and aligns with the architecture community for governance. Applies frameworks in a Complex or Multiple Solution or Product Context. Technical delivery owner, managing sprint velocity and engineering output alongside their architectural duties. Designing data pipelines, complex data modeling (Veeva, HCP, claims), AWS infrastructure decisions, and technical code reviews. Remains the ultimate technical authority for their domain.
Accountability/Problem Solving: Accountability for technical delivery, sizing technical debt, breaking down their own architectures into actionable sprint tasks, and unblocking developers. Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions. Maintains the vision, roadmap, and current landscape for multiple solutions. Assesses and consults on the impacts and dependencies of initiatives on capabilities, risk, and the application landscape. Creates Conceptual & Logical Data Models, Taxonomies, Ontologies, and Integration pathways for the product. Defines and drives reference architectures, patterns, NFRs, and fitness functions, ensuring Architecture Decision Records (ADRs) are recorded and published for multiple solutions or the product. Drives external technology trends and assesses feasibility, including vendor assessments.
Stakeholder Management: Communicates difficult concepts clearly and negotiates with others to adopt a different point of view. Drives information sharing across the complete product.
Impact/Strategy: Develops and maintains the product's technology roadmap. Provides technical oversight, guidance, and consultation on specific technologies for product teams. Improves existing solutions, manages technical debt, and researches, evaluates, pilots, and drives the adoption of new technologies. Identifies opportunities to enhance value and business processes within a Complex or Multiple Solution or Product Context.
Business / Technical ability: Applies in-depth and expert-level knowledge in multiple technology areas. Proactively contributes to Architecture Practices development and mentoring.
Qualifications
Technical Skills
10–14 years of IT/data experience, with 4+ years in a data architect or platform architect role.
Deep AWS data architecture experience: S3, Glue, Lake Formation, Athena, Redshift, EMR/Spark, dbt, Lambda, Step Functions, MWAA (Airflow), DMS/DataSync, Kinesis/MSK, IAM, and KMS.
Proven design of lakehouse and data warehouse platforms at scale (Iceberg/Delta/Hudi, medallion patterns, dimensional and data vault modeling).
Experience establishing data products and a semantic/metrics layer (e.g., dbt, Cube, AtScale, or equivalent).
Experience with unstructured data architectures, including RAG and vector search.
Strong grounding in governance, security, and privacy for regulated health data.
5+ years in US pharma/life sciences commercial analytics, with knowledge of data sources such as IQVIA, Symphony, Komodo, Veeva, specialty pharmacy, and payer data.
Hands-on ability in SQL, Python, and PySpark. You should be able to review code and prototype designs.
Experience with Terraform or CloudFormation, CI/CD, and DevOps/DataOps practices.
Additional Qualifications
Exceptional communication and negotiation skills, with the ability to communicate difficult concepts and influence stakeholders to adopt different perspectives.
Proactive mindset to identify opportunities to enhance value, improve existing solutions, manage technical debt, and lead teams in identifying innovative solutions
Strong capability to drive external technology trends and assess feasibility for multiple solutions, including conducting vendor assessments
Exposure to GenAI/agentic use cases in commercial (field copilots, NBA, natural-language analytics).
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Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
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