Senior Data Engineer
Core
Design and scale the data platform powering analytics, product insights, and machine learning for a SaaS platform serving legal, accounting, and professional service businesses.
Role type
Senior Data Engineer (Staff-level impact)
Builds
Data architecture, reliable pipelines, and a Unified AI Platform (LLM routing, RAG, agent orchestration)
Domain
Financial Technology / Professional Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design, data modeling, ETL development, cloud infrastructure, Python, SQL, NoSQL databases, workflow orchestration, Infrastructure as Code, event/streaming systems, CI/CD, AI tooling
Preferred skills
PySpark, Redshift, Spark, Kafka
Technologies
AWS, Redshift, Snowflake, BigQuery, PySpark, Airflow, Prefect, Dagster, Terraform, CloudFormation, Kafka
Responsibilities
Lead data architecture and modeling strategy discussions, drive improvements to data reliability and observability, establish best practices for data modeling and code review, mentor other data engineers, optimize performance of business-critical queries, integrate diverse data sources across the product portfolio, provide technical guidance for data platform evolution.
Seniority
Senior, hands-on IC with mentorship responsibilities