Own the vision and technical roadmap for Omada’s enterprise data architecture, spanning ingestion, storage, modeling, and serving layers for analytics and applied statistics use cases.
Design, implement, and evolve scalable, secure, and cost‑efficient data solutions (datalakes, warehouses, marts, semantic layers) that support governed, cross‑functional analytics and self‑service.
Define and socialize architectural patterns, data contracts, and integration standards used by data and product teams across the organization.
Anticipate future needs (e.g., new product lines, new modalities, AI/ML workloads) and drive proactive architectural changes rather than reacting to incidents or point‑in‑time requests.
Lead the design of logical and physical data models to support enterprise metrics, dashboards, and ad hoc analytics, with a focus on reusability and clear ownership.
Implement robust data quality, validation, and monitoring frameworks that underpin trusted “single source of truth” definitions for core concepts (e.g., active member, MAU, GLP‑1 member).

8+ years of experience building, maintaining, and orchestrating scalable data platforms and high‑quality production pipelines, including significant experience in analytics or warehousing environments.
Demonstrated Staff‑level impact: leading cross‑team technical initiatives, making architectural decisions that shaped a multi‑year roadmap, and influencing stakeholders beyond your immediate team.
Deep experience with cloud data ecosystems (e.g., AWS) and modern data warehouses (e.g., Redshift, Snowflake, BigQuery), including MPP query optimization.
Strong background in data modeling for OLTP and OLAP, and designing reusable data products for BI, reporting, and advanced analytics.
Hands-on experience implementing data quality, observability, and governance frameworks, ideally in a regulated or PHI/PII‑sensitive environment.
Experience partnering with Product Management and Analytics to define and deliver platform capabilities, not just point solutions.

Staff Software Engineer, Data Engineering

Key skills