Lead Platform Engineer

Technology & Architecture Leadership

• Define and evolve multi-year Data and AI platform roadmaps aligned to enterprise architecture, security standards, and business strategies.
• Work with business leaders globally to understand business needs, translate requirements to meaningful design artifacts and implement data and AI tooling for Enterprise Data Platform (EDP).
• Implement Data and AI governance controls, data and platform level security best practices as we continue to build out EDP.
• Lead platform tools, frameworks and vendor evaluations, guiding build vs. buy decisions and ensuring alignment with enterprise technical direction.
• Develop and promote engineering standards, reference architectures, and data access design patterns used across IT and partner teams.
• Anticipate technology impacts across applications, data, integrations, and infrastructure—and guide teams through informed trade-off decisions including assessing new technology.

Solution Delivery & Continuous Improvement

• Develop design patterns for developing and governing data and agentic AI applications on EDP using Databricks foundation models, OpenAI, Claude, Snowflake Cortex etc.
• Manage and drive improvements of a lightweight custom application (Data Portal) for self-service data cataloging, search and discovery and data sharing with internal and external users.
• Day-to-day hands-on execution and implementation of solutions, initiatives, processes and practices.
• Lead and oversee technical direction for large multi-team delivery efforts, ensuring application of modern engineering and DevSecOps practices through completion.
• Conduct architectural and technical reviews of solution designs, code, and delivery approaches to raise quality and consistency.
• Pilot emerging technologies and guide their adoption into stable enterprise capabilities when appropriate.
• Drive continuous improvement of engineering practices, tooling, automation and operational processes.

Service & Portfolio Strategy

• Partner with service managers and product owners to shape service strategies, roadmaps, and investment priorities.
• Translate complex system challenges into actionable plans that improve sustainability, lifecycle health, and user experience.
• Provide senior-level input to annual planning, including resource needs, modernization opportunities, risks, and capacity considerations.
• Represent technology perspectives in strategic and portfolio discussions, ensuring alignment between business direction and technical capability.

Leadership, Influence & Collaboration

• Serve as a practice lead, SME and senior mentor; coach engineers and contingent staff, as well as manage service partners.
• Build strong, collaborative relationships across IT, Business Operations, and programmatic teams.
• Lead cross-functional architecture and design discussions, guiding teams through ambiguity with clarity, sound judgment, and tactical planning.
• Communicate effectively across technical and non-technical audiences, including senior leadership, translating complex concepts into clear implications and recommendations.
• Represent IT in foundation working groups, governance forums, and cross-team initiatives, ensuring alignment with broader strategies and priorities.
• Lead core initiatives partnering across PSTs, Ops and IT.

Qualifications

• Bachelor’s or master’s in computer science or related field or equivalent experience.
• 12+ years’ experience in data platforms with a focus on advanced analytics, AI/ML Infrastructure, data security and automation.
• Experience in implementing managed and custom MCP servers.
• Experience in working on data platform architecture, processing of unstructured data and extracting insights.
• Experience with analyzing and extracting insights from health and life sciences data (internal and external public repositories) using analytical and reporting tools.
• Experienced in working with business users and co-developing solutions on EDP using Databricks, Azure and governing AI applications.
• Hands-on experience with: Azure (Data Lake, Azure ML, Event Hubs, etc.), IaC automating infrastructure provisioning using Terraform, Databricks experience is a must (Lakeflow, Spark, Delta Lake, Databricks Applications, Unity Catalog), Snowflake (Iceberg, Horizon catalog, Cortex AI, secure data sharing), Experience designing and building API-driven data platforms (REST/GraphQL, microservices), and API/AI gateways.
• Experience with data sharing with internal and external users, cataloging external data platforms is preferred.
• Familiarity with building data pipelines with Databricks and DBT Cloud and orchestration.
• Familiarity with Docker, Kubernetes, and distributed systems.

Additional Qualifications

• Strong understanding of: RAG architectures, embeddings, and vector databases. Document chunking, indexing, and retrieval strategies.
• Experience with document processing/NLP pipelines (OCR, entity extraction, classification).
• Collibra data catalog and Data Governance.
• Deep expertise with cloud-based infrastructure (Azure preferred), networking, identity, security, automation, and cost optimization.
• Advanced experience with CI/CD pipelines, infrastructure as code, cloud-native operational models, and modern version control strategies.
• Proficiency with programming and scripting languages such as C# .Net, Python, or PowerShell is desirable.
• Previous experience with Salesforce would be a plus.
• Excellent communication and influencing skills.

Salary Range

$190,100 to $294,700 USD.

For positions in Seattle and Washington D.C., the salary range is $209,100 to $324,100 USD.