Lead Platform Engineer
Core
Architecting, delivering, and evolving complex data and AI platform solutions to support global foundation and affiliate staff, enabling timely decision-making and mission advancement.
Role type
Senior hands-on IC Lead Platform Engineer (Data & AI Infrastructure)
Builds
Enterprise Data Platform (EDP), self-service data cataloging tools, and AI-driven data governance frameworks
Domain
Nonprofit sector, Data Engineering, AI/ML Infrastructure, Cloud Architecture
Deliverable
production ML models | infrastructure | product features
Required skills
Data platform architecture, AI/ML infrastructure design, Data governance & security, Cloud-native operational models, Infrastructure as Code (IaC), API-driven platform design, Distributed systems, CI/CD pipelines, Programming (Python/C#/.Net)
Preferred skills
RAG architectures, Vector databases, Document processing/NLP pipelines, Collibra data catalog, Salesforce, Docker/Kubernetes
Technologies
Azure (Data Lake, Azure ML, Event Hubs), Databricks (Lakeflow, Spark, Delta Lake, Unity Catalog), Snowflake (Iceberg, Horizon, Cortex), Terraform, DBT Cloud, REST/GraphQL, Docker, Kubernetes
Responsibilities
Define multi-year Data and AI platform roadmaps aligned with enterprise architecture; Implement data and AI governance controls and security best practices; Lead platform tools, frameworks, and vendor evaluations; Develop design patterns for agentic AI applications on EDP; Manage improvements of custom data cataloging applications; Conduct architectural and technical reviews of solution designs; Champion automation, observability, and operational excellence; Partner with service managers to shape service strategies and roadmaps; Serve as a practice lead, SME, and senior mentor to coach engineers and manage service partners.
Seniority
Senior, hands-on IC with leadership responsibilities