2 hours 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 is domain-specific AI for legal and professional services. Adopted by Fortune 500 companies like AT&T, Verizon, Cox, Koch, KKR, Bridgewater, more than 100,000 lawyers across 2,400+ customers in 70 countries and over 75% of AmLaw 100 law firms rely on Harvey to advance legal expertise faster across contract analysis, due diligence, compliance, and litigation. Backed by Sequoia Capital, OpenAI, GV, Kleiner Perkins, Coatue and EQT, Harvey is the trusted partner in modernizing the legal industry.