Senior Software Engineer, Data Platform

Harvey
San Francisco, New York
Workplace: HybridFull timeUSD 193,400 - 290,000 annuallyFunction: Software EngineeringSkills: ["Ownership","Technical direction","Design reviews","Mentorship","Comfort with ambiguity"]

Build and scale Harvey’s central data platform so every team can access and process data confidently and independently. Own the platform’s ingestion, warehouse, orchestration, transformation/compute frameworks, and real-time streaming capabilities. Drive architecture and technical direction while ensuring freshness, cost, quality, lineage, governance, and correct handling of PII and multi-region data residency. Partner across Analytics, Data Engineering, product teams, and Infrastructure to systematize work that’s currently distributed and improvised.

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Harvey
Harvey
1 day ago

Senior Software Engineer, Data Platform

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Last checked: 49 minutes agoStatus: Live

Job Summary

Build and scale Harvey’s central data platform so every team can access and process data confidently and independently. Own the platform’s ingestion, warehouse, orchestration, transformation/compute frameworks, and real-time streaming capabilities. Drive architecture and technical direction while ensuring freshness, cost, quality, lineage, governance, and correct handling of PII and multi-region data residency. Partner across Analytics, Data Engineering, product teams, and Infrastructure to systematize work that’s currently distributed and improvised.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the data platform’s architecture and technical direction, treating data infrastructure as a reusable software product.
  • •Build and operate ingestion across streaming, batch, CDC, and third-party connectors, including safe schema evolution for upstream changes.
  • •Land data into Snowflake with downstream-friendly freshness, completeness, and cost characteristics, and define a clean handoff for analytics engineering.
  • •Own orchestration (scheduling, retries, backfills, dependency management) across the full data graph.
  • •Build transformation/compute frameworks and self-serve tooling, plus real-time stream processing and the trust layer (quality/observability/lineage/governance).

Pay and Benefits

Salary: USD 193,400 - 290,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years building and operating production data infrastructure with ownership of systems other teams depend on.
  • •Deep experience with cloud data warehouses, with Snowflake strongly preferred, including performance tuning and cost management.
  • •Hands-on experience building CDC and streaming pipelines using Kafka, Debezium, Flink, or Spark Streaming.
  • •Workflow orchestration experience at scale (Temporal, Airflow, Dagster, or similar), plus strong Python and advanced SQL skills.
  • •Experience across data quality/observability/lineage, schema evolution, and data governance for regulated environments (PII classification, masking, access control, retention, data residency).
Experience:Data infrastructureData warehousesRegulated environmentsData governanceStreaming/CDC
Skills:OwnershipTechnical directionDesign reviewsMentorshipComfort with ambiguity
Tech Stack:SnowflakeBigQueryDatabricksRedshiftKafkaDebeziumFlinkSpark StreamingFivetranAirbyteTemporalAirflowDagsterPythonSQLDbtIcebergDelta LakeTrinoAzure

Company Brief

Harvey
Harvey builds domain-specific generative AI for legal and professional services, automating contract analysis, due diligence, compliance, and litigation workflows for law firms and corporate legal teams.
Industry: LegalTech
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2022
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor