Senior Platform Engineer

The Foundation

We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally.

The Team

Within Business Operations and the CIO organization, the Enterprise Data Solutions (EDS) team leads work across Knowledge Management, AI, Data Engineering, Business Intelligence, Data Infrastructure, and Health Data Platforms. The team’s vision is to empower the Foundation with innovative, data-driven services and solutions that enable timely, informed decision-making.

As part of this scope, the EDS team recently launched the Enterprise Data Platform (EDP) - the central hub for managing, analyzing, and sharing the Foundation’s data assets and enabling AI.

Your Role

The Gates Foundation is seeking a Senior Platform Engineer to design and scale a modern data and AI platform that accelerates impact across global health, development, education, Gender Equality and humanitarian initiatives.

In this role, you will lead the development of a secure, governed, and scalable platform built on Azure, Databricks, and Snowflake, enabling advanced analytics and responsible generative AI solutions using OpenAI and Claude. You will play a critical role in unlocking insights from both structured and unstructured data (e.g., research reports, program documents, surveys, and field data) and making them accessible through API-driven data services and intelligent search using Azure AI Search.

You will also help ensure that data and AI systems are ethical, transparent, and aligned with global data governance standards, leveraging tools such as Collibra.

Key Responsibilities

• Lead the architecture and development of a cloud-native Data and AI platform on Azure, Databricks Lakehouse and Snowflake

• Design and implement API-first data platform to enable secure, governed data sharing across teams, partners, and global stakeholders

• Operationalize GenAI solutions for knowledge discovery and decision support, including:

  • Retrieval-Augmented Generation (RAG) architectures

  • Integration with OpenAI and Claude APIs

  • Semantic and hybrid search using Azure AI Search

• Create design patterns for document ingestion, parsing, OCR, metadata extraction, and enrichment

• Design and implement embedding and vector search strategies for unstructured data

• Lead the implementation of data governance and stewardship practices using Collibra, including:

  • Data cataloging, lineage, and metadata management

  • Data quality frameworks and stewardship workflows

  • Alignment with global privacy, security, and compliance standards

• Establish secure data access patterns (RBAC/ABAC), ensuring detection (PHI/PII scanning) and protection of sensitive data

• Build reusable platform services, APIs, and tools that enable self-service analytics and AI development

• Implement observability, monitoring, and evaluation frameworks for data pipelines and AI/LLM systems

• Optimize platform performance, scalability, and cost efficiency via FinOps dashboards

• Develop lightweight application for search and discovery, cataloging, and onboarding new datasets

Your Experience

• Bachelor’s or master’s in computer science or related field or equivalent experience

• Experience with analyzing and extracting insights from health and life sciences data (internal and external public repositories) using analytical and reporting tools

• 12+ years’ experience in platform engineering and/or software engineering, with a focus on advanced analytics, AI/ML Infrastructure, data security and automation