Lead Engineer, Data Platform
Core
Design and deliver self-service data platform capabilities for internal engineering teams, focusing on ingestion, transformation, governance, and cost optimization on GCP.
Role type
Lead Engineer, Data Platform (hands-on IC)
Builds
Self-service data pipelines, ingestion/transformation capabilities, governance controls, and cost guardrails for data producers and consumers.
Domain
Financial services / Data Engineering / Cloud Infrastructure
Required skills
Data engineering (batch/streaming, CDC, event-driven), Python, SQL, Infrastructure as Code (Terraform), CI/CD, Data governance (PII masking, access control), Observability (SLOs, alerting), Cost optimization, AI-assisted development
Preferred skills
Experience with global decentralized teams, Financial services domain knowledge, AI tooling enablement
Technologies
GCP, BigQuery, Fivetran, dbt, Apache Airflow, Looker, Atlan, Databricks, Terraform, GitHub, ConductorOne, Okta, Coralogix, Claude
Responsibilities
Design self-service paths for onboarding sources/datasets; Improve ingestion/transformation capabilities for reliability; Apply governance (residency, masking, retention); Set SLOs and quality checks; Identify and mitigate cost drivers; Break work into shippable phases; Use AI-assisted development; Review designs and code for other engineers.
Seniority
Senior, hands-on IC
