Staff Engineer - Data Platform

Haus Technologies Inc.

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Full Job Description

📋 Description

• Lead the architecture and technical direction of Haus’s data ingestion and normalization platform, responsible for processing terabytes of daily data from ad networks (Google, Meta, TikTok, Amazon), Fivetran connectors, and customer data warehouses (Snowflake, BigQuery).
• Design and implement high-leverage data systems including schema evolution, data contracts, data quality frameworks, idempotent backfills, lineage tracking, time-travel capabilities, and pipeline observability to ensure reproducibility and trustworthiness of data.
• Drive architectural decisions within the GCP / BigQuery / dbt stack, evaluating build-vs-buy tradeoffs, standardizing components, and deprecating legacy systems through clear, aligned design documentation.
• Serve as the senior-most individual contributor on a 6–10 person engineering team, mentoring senior engineers through code reviews, design reviews, and hands-on problem-solving on the most complex technical challenges.
• Partner directly with data science and product teams to translate ambiguous modeling and research requirements into precise, reliable data contracts and SLAs that enable downstream analytics and customer-facing products.
• Own end-to-end incident response and post-mortems for critical data pipeline failures, transforming reactive firefighting into proactive, systemic improvements to prevent recurrence.
• Design and implement AI-driven (agentic) workflows to automate data quality validation, anomaly detection, and analytics orchestration within the data platform.
• Influence and align the broader engineering organization’s data strategy by setting standards for data reliability, scalability, and maintainability across all teams.
• Build and maintain scalable pipelines that balance throughput, cost efficiency, and system reliability while supporting billions in client ad spend optimization.
• Ensure data platform integrity by establishing robust data governance practices, including metadata management, access controls, and auditability across all ingestion sources.
• Collaborate with engineering leadership to prioritize technical debt reduction and long-term platform sustainability while meeting aggressive product and customer delivery timelines.
• Communicate technical tradeoffs and strategic decisions clearly to engineering, data science, product, and executive stakeholders through written documentation and presentations.
• Contribute to the evolution of Haus’s data platform by evaluating emerging tools and frameworks that enhance scalability, observability, or automation in cloud data environments.

🎯 Requirements

• 8–10+ 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

• Flexible PTO — take time when you need it
• Equity — startup environment with part-ownership in company successes
• Top-of-the-line health, dental, and vision insurance with multiple plan options
• WFH stipend to support productive remote work setup
• Events & offsites — opportunities to connect and celebrate in person
• Free lunch when working from office hub locations (SF, NYC, Seattle)
• New Parent Leave — paid time to welcome new family members

Skills & Technologies

Python

GCP

Apache Spark

Senior

Onsite

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Haus Technologies Inc.

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About Haus Technologies Inc.

Haus Technologies Inc. operates an online marketplace for buying and selling residential real estate. The platform enables homeowners to list properties, schedule tours, and receive offers without traditional agent commissions. Buyers browse listings, book self-guided showings through the app, and submit bids directly. Haus provides valuation tools, digital offer management, and transaction coordination, aiming to reduce fees and streamline the home-sale process. Founded in 2016, the company has facilitated transactions in multiple U.S. metropolitan areas while generating revenue through listing subscriptions and optional service upgrades.

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