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Senior Software Engineer, Data Platform

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Senior Software Engineer, Data Platform in USA

  • New York, NY

Responsibilities

  • Own the data platform architecture and technical direction, including build-versus-buy decisions and reusable software frameworks.
  • Build and operate streaming, batch, CDC, and third-party ingestion systems with safe schema evolution and Snowflake delivery.
  • Own workflow orchestration, including scheduling, retries, backfills, and dependency management.
  • Build transformation, compute, and self-service pipeline frameworks for product engineers, data engineers, and analysts.
  • Design and operate real-time stream-processing infrastructure for product features, alerting, and near-live reporting.
  • Build data quality, observability, anomaly detection, lineage, cataloging, and discovery capabilities.
  • Develop 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

  • 5+ years of experience building and operating production data infrastructure used by other teams.
  • Deep experience with cloud data warehouses, with Snowflake strongly preferred and BigQuery, Databricks, or Redshift considered transferable.
  • Hands-on experience building CDC and streaming pipelines with Kafka, Debezium, Flink, or Spark Streaming.
  • Experience with managed ingestion tools such as Fivetran or Airbyte and with build-versus-buy connector decisions.
  • Strong experience operating workflow orchestration systems such as Temporal, Airflow, or Dagster at scale.
  • Strong Python programming skills and advanced SQL proficiency.
  • Experience building frameworks or internal tooling used by other engineers.
  • Experience with data quality, observability, lineage, and schema evolution for highly available systems.
  • Working knowledge of data governance in regulated environments, including PII classification, masking, access control, retention, and data residency.
  • Familiarity with Azure, AWS, GCP, Kubernetes, and infrastructure-as-code tools such as Terraform or Pulumi.
  • Preferred experience with dbt, analytics engineering teams, lakehouse architectures, Iceberg, Delta Lake, Trino, multi-tenant secure platforms, AI product data infrastructure, or serving as an early data platform hire.

Benefits

  • The role is based in San Francisco, California, or New York, New York.
  • Harvey provides equal employment opportunity and reasonable accommodations for applicants with disabilities.

Salary: $193k - $290k/yr

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 faste...

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