Salary
💰 $250,000 - $350,000 per year
Tech Stack
ApacheBigQueryCloudGoogle Cloud PlatformPythonRedisRustSQLTypeScript
About the role
- Lead the Ontology team as a hands‑on technical lead and take technical leadership for Parable’s enterprise schema (ontology)
- Formalize entities/relationships, version data contracts, and balance abstraction vs. specificity for reusable models across clients
- Design idempotent, incremental pipelines that unify identities across systems into stable Parable IDs and persist them as lakehouse tables
- Establish gold-standard sources & standards and link out to other systems for complete coverage
- Productize research by partnering with Context Mining to transform one‑off client solutions into continuous, reusable ontology pipelines
- Co-design stable, performant APIs and query surfaces that power client UX and partner with App team
- Specify connector mappings, entity keys, and documentation to help Raw Data ship taps faster with clearer downstream contracts
- Drive technical standards (testability, observability, lineage/validation) so ontology jobs are dependable and easy to operate per‑tenant
Requirements
- 8+ years building data‑heavy systems with schema design, identity resolution, and event pipelines (idempotent, incremental, testable)
- Proven technical lead impact: multi‑quarter technical leadership, cross‑team influence, dependable delivery, and risk management
- Strong Python and SQL; comfort across cloud data platforms and containers; experience designing APIs and data contracts used by product teams
- Data‑quality and observability mindset (validation, lineage, run health) in production pipelines
- Experience with cloud data lakes (Delta Lake or Apache Iceberg) on Parquet; BigQuery/Cloud SQL; Redis; Pub/Sub
- Strong in Python or Rust or TypeScript in production services; interest in shaping evaluation for enrichment/agentic steps alongside Context Mining