Analytics Engineer
Core
Design and maintain the data transformation layer and analytics infrastructure for a legal AI platform, enabling self-service analytics for product, sales, and engineering teams.
Role type
Senior Analytics Engineer
Builds
Trusted, documented datasets, data models, and semantic layers for a legal AI platform
Domain
Legal technology / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt (Core/Cloud), dimensional modeling, data testing, documentation-as-code, Python scripting, cloud data warehouses (BigQuery/Snowflake/Redshift)
Preferred skills
Event-driven architectures (Pub/Sub, Kafka), vector databases (Elasticsearch, Pinecone), engineering metrics (DORA), BI tools (Looker, Metabase), AI/ML model evaluation
Technologies
dbt, BigQuery, Pub/Sub, Python, GCP
Responsibilities
Design and maintain dbt projects with staging, intermediate, and mart layers; model product analytics events and business KPIs; implement data quality frameworks with tests and anomaly detection; create and curate dashboards and semantic layers; collaborate on event tracking and data contracts; support ad-hoc analysis for product and business teams
Seniority
Senior, hands-on IC