You'll sit between Analytics, Data Engineering, product teams, and Infrastructure. Today this work is distributed and improvised. You'll make it a system, set the technical direction, and help build the team around you.

This role is based in San Francisco, CA or New York, NY

What You'll Do

• Own the data platform's architecture and technical direction — treating data infrastructure as a software product built from reusable frameworks, and making deliberate build-vs-buy tradeoffs as the platform grows
• Build and operate the ingestion layer across streaming, batch, CDC, and third-party connectors, including schema evolution that absorbs upstream change safely rather than silently breaking consumers, so onboarding a new source is a paved path instead of a project
• Land data into Snowflake with the freshness, completeness, and cost characteristics downstream consumers can plan around, and define a clean handoff for Analytics Engineering
• Own the orchestration platform — scheduling, retries, backfills, and dependency management across the full data graph
• Build the transformation and compute frameworks teams can use to process data at scale, and the self-serve tooling that lets product engineers and analysts stand up their own pipelines against primitives you've already made safe
• Design and operate stream processing infrastructure for use cases that can't wait for batch — real-time product features, operational alerting, and near-live reporting
• Build the trust layer: quality and observability (freshness, validation, reconciliation, anomaly detection, alerting routed to the right owner) alongside lineage, cataloging, and discovery, so anyone can find data and know where it came from and what depends on it
• Build the patterns and tooling for PII and sensitive data — classification, masking, retention, access control — and for multi-region residency requirements
• Set the technical bar for data at Harvey through design reviews, standards, documentation, and mentorship as the team grows

What You Have

• 5+ years building and operating production data infrastructure, with ownership of systems other teams depend on
• Deep experience with cloud data warehouses — Snowflake strongly preferred (BigQuery, Databricks, or Redshift experience transfers well) — including performance tuning and cost management
• Hands-on experience building CDC and streaming pipelines with technologies like Kafka, Debezium, Flink, or Spark Streaming
• Experience with managed ingestion tooling (Fivetran, Airbyte, or similar) and clear judgment about when to buy the connector and when to build it
• Strong fluency with workflow orchestration — Temporal, Airflow, Dagster, or similar — operated at scale, not just configured
• Strong programming skills in Python and advanced SQL
• Experience building frameworks or internal tooling that other engineers use, and the product instinct to know when an abstraction is helping versus getting in the way
• Practical experience with data quality, observability, and lineage tooling, and with schema evolution in systems that can't afford downtime
• Working knowledge of data governance in a regulated environment: PII classification, masking, access control, retention, and data residency
• Familiarity with cloud data services (Azure, AWS, GCP), Kubernetes, and infrastructure-as-code (Terraform, Pulumi)
• Comfort operating in ambiguity and defining scope where none exists

Nice to Have

• Experience with dbt and a close working relationship with analytics engineering teams
• Experience with lakehouse architectures and open table formats (Iceberg, Delta Lake) or query engines like Trino
• Experience operating multi-tenant platforms with strict security, compliance, or data residency requirements
• Exposure to data infrastructure for AI products
• Prior experience as an early or founding data platform hire at a fast-growing company

Compensation

$193,400 - $290,000 USD

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.

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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai