Software Engineer (Lake Analytics Platform)
Core
Operate and extend a cloud-based Lake Analytics Platform to move governed data from storage to business applications, analytics, and AI.
Role type
Platform Engineer (Data Infrastructure)
Builds
Cloud-based analytical environment, internal developer tooling, and self-service automation pipelines.
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Cloud data platforms (Snowflake, Databricks, BigQuery), CI/CD pipelines, Python, SQL, containerization, access control, data governance, secrets management, incident response, root cause analysis, technical documentation.
Preferred skills
Experience with internal platforms, event-driven hooks, OAuth/OIDC patterns, REST APIs.
Technologies
Snowflake, Databricks, BigQuery, Buildkite, GitHub Actions, Python, SQL, containers, REST APIs, OAuth/OIDC.
Responsibilities
Operate and extend platform capabilities for provisioning and service lifecycle; maintain integrations between platform services and internal systems; support governance initiatives including access controls and dynamic masking; maintain self-service automation for access and pipeline health; diagnose and resolve platform issues using telemetry and runbooks; participate in on-call rotation for production incidents; conduct root cause analysis; document technical decisions and processes.
Seniority
Mid-level, hands-on IC
