2 months ago
Base Salary
$231k - $340k/yr
Responsibilities
- Own the data platform architecture and technical direction, including reusable frameworks and build-versus-buy decisions.
- Build and operate streaming, batch, CDC, and third-party ingestion systems with safe schema evolution into Snowflake.
- Own workflow orchestration for scheduling, retries, backfills, and dependency management across the data graph.
- Build transformation, compute, self-service pipeline, and real-time stream-processing frameworks.
- Develop data quality, observability, lineage, cataloging, discovery, and alerting capabilities.
- Build tooling for PII classification, masking, retention, access control, and multi-region data residency.
- Set technical standards through design reviews and documentation, and mentor the growing team.
Requirements
- 10+ years of experience building and operating production data infrastructure used by other teams.
- Deep cloud data warehouse experience, preferably Snowflake, including performance tuning and cost management; BigQuery, Databricks, or Redshift experience is transferable.
- Hands-on experience with CDC and streaming pipelines using technologies such as Kafka, Debezium, Flink, or Spark Streaming.
- Experience with managed ingestion tools such as Fivetran or Airbyte and judgment about when to build versus buy connectors.
- Strong experience operating workflow orchestration systems such as Temporal, Airflow, or Dagster at scale.
- Strong programming skills in Python and advanced SQL.
- Experience building frameworks or internal tooling for other engineers, along with practical data quality, observability, lineage, and schema evolution experience.
- Working knowledge of regulated-environment data governance, including PII classification, masking, access control, retention, and data residency.
- Familiarity with Azure, AWS, GCP, Kubernetes, Terraform, or Pulumi.
- Preferred experience includes dbt, lakehouse architectures, Iceberg, Delta Lake, Trino, multi-tenant secure platforms, AI product data infrastructure, or founding data platform work.
Benefits
- The role is based in San Francisco, California or New York, New York.
- Harvey offers an equal opportunity workplace and reasonable accommodations for applicants with disabilities.
Tech Stack
AirbyteAmazon RedshiftApache AirflowApache FlinkApache KafkaAWSAzureDatabricksdbtGoogle BigQueryGoogle Cloud PlatformKubernetesPythonSnowflakeSQLTerraform
Categories
Data EngineeringDevOps
About Harvey
Harvey builds domain-specific generative AI for legal and other professional services, delivered as an enterprise platform and APIs to automate contract analysis, due diligence, compliance, and litigation workflows. Founded in 2022 and headquartered in San Francisco, it sells to law firms and corporate legal departments on enterprise agreements; investors include Sequoia Capital and OpenAI. Customers include multiple Am Law 100 firms and Fortune 500 companies’ legal teams.