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Senior Software Engineer, Data Platform

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Senior Software Engineer, Data Platform in USA

  • San Francisco, CA

Responsibilities

  • Own the data platform architecture and technical direction, including reusable frameworks and build-versus-buy decisions.
  • Build and operate ingestion across streaming, batch, CDC, and third-party connectors with safe schema evolution.
  • Land data in Snowflake with reliable freshness, completeness, and cost characteristics and define handoffs to Analytics Engineering.
  • Own orchestration capabilities including scheduling, retries, backfills, and dependency management.
  • Build transformation, compute, stream-processing, and self-serve pipeline frameworks for product engineers, data engineers, and analysts.
  • Develop data quality, observability, lineage, cataloging, discovery, alerting, and anomaly-detection capabilities.
  • Create tooling for PII classification, masking, retention, access control, and multi-region data residency.
  • Set technical standards through design reviews, documentation, and mentorship while helping build the data platform team.

Requirements

  • 5+ years of experience building and operating production data infrastructure that other teams depend on.
  • Deep experience with cloud data warehouses, especially Snowflake, including performance tuning and cost management.
  • Hands-on experience building CDC and streaming pipelines with technologies such as Kafka, Debezium, Flink, or Spark Streaming.
  • Experience with managed ingestion tools such as Fivetran or Airbyte and sound build-versus-buy judgment.
  • Strong experience operating workflow orchestration platforms such as Temporal, Airflow, or Dagster at scale.
  • Strong Python programming skills and advanced SQL proficiency.
  • Experience building frameworks or internal tools used by other engineers.
  • Practical experience with data quality, observability, lineage, and schema evolution for high-availability 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, lakehouse architectures, Iceberg, Delta Lake, Trino, multi-tenant secure platforms, AI-product data infrastructure, or early/founding data platform roles.

Benefits

  • The role is based in San Francisco, CA or New York, NY.
  • The position offers the opportunity to be an early hire on the central data platform team and help shape its technical direction and team.
  • Compensation is listed separately as a base salary range of $193,400–$290,000 USD.

Salary: $193k - $290k/yr

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