Staff Engineer – Data Platform

Haus

Staff Software Engineer leading data platform architecture at Haus, optimizing ad spend with data-driven insights. Collaborating with engineering leadership and product teams on data ingestion and normalization.

Posted 6/24/2026full-timeSeattle • Washington • 🇺🇸 United StatesLead💰 $240,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Be the tech-lead and architect for Haus's data ingestion and normalization platform — ad network APIs (Google, Meta, TikTok, Amazon, etc.), Fivetran connectors, and customer warehouses (Snowflake, BigQuery) — balancing throughput, cost, and reliability.
Design and lead implementation of high-leverage systems: schema evolution, data contracts, DQ frameworks, idempotent backfills, lineage, time-travel, data reproducibility and pipeline observability.
Drive architectural decisions in our GCP / BigQuery / dbt stack — build vs. buy, what to standardize, what to deprecate — and write the design docs that align Engineering, DS, and Product teams.
Raise the engineering bar through code review, design review, and mentorship; level up Senior engineers and unblock the team on the hardest problems.
Partner with data science to translate fuzzy modeling and research needs into pipeline contracts and SLAs that downstream teams can trust.
Own incident response and post-mortems for critical pipeline failures; turn one-off fires into systemic fixes.
Drive design and implementation of AI (Agentic) workflows for data quality and analytics
Influence the broader engineering org's data strategy.

Requirements

What you’ll need

10+ years of software engineering experience, with at least 4 years building production data platforms at meaningful scale (terabytes/day, hundreds of pipelines, or comparable).
Track record of Staff-level technical leadership: setting direction across multiple workstreams, writing design docs others build from, and mentoring senior engineers.
Deep expertise in Python and SQL/dbt, with strong fluency in a modern orchestrator (Dagster, Airflow, Temporal, etc) and a cloud data warehouse (BigQuery, Snowflake, etc).
Demonstrated ownership of a non-trivial data platform — schema design, schema evolution, data quality, lineage, cost, and reliability — not just writing pipelines, but designing the system the pipelines live in.
Strong product judgment — comfortable working with DS, ML, or analytics consumers and translating their needs into clean data contracts.
Excellent written and verbal communication; able to defend technical decisions to engineering, product, and exec stakeholders.

Benefits

Comp & perks

Flexible PTO - take time when you need it!
Equity – Startup environment with part-ownership in our successes
Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best
WFH stipend to support the set up you need to be productive
Events & Offsites – opportunities to connect and celebrate in real life!
Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle)
New Parent Leave – take time to welcome your newest Hausmate

ATS Keywords

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Hard Skills & Tools

PythonSQLdbtdata ingestiondata normalizationschema designdata qualitydata lineagepipeline observabilityAI workflows

Soft Skills

technical leadershipmentorshipcommunicationproduct judgmentproblem-solvingcollaborationdesign documentationincident responsesystemic thinkingstakeholder management