Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
As a Staff Software Engineer, you will lead the technical direction for Haus's data ingestion and normalization platform. You will be the senior-most individual contributor on a 6-10 person team, responsible for building a durable, high-quality data foundation that powers causal experiments and marketing mix models for leading brands.
Responsibilities
- Act as tech-lead and architect for data ingestion and normalization platforms including ad network APIs, Fivetran, and customer warehouses.
- Design and lead implementation of systems for schema evolution, data contracts, DQ frameworks, idempotent backfills, lineage, and pipeline observability.
- Drive architectural decisions within the GCP, BigQuery, and dbt stack.
- Write design documentation to align Engineering, Data Science, and Product teams.
- Raise engineering standards through code reviews, design reviews, and mentorship of senior engineers.
- Partner with data science teams to translate research needs into reliable pipeline contracts and SLAs.
- Manage incident response and post-mortems for critical pipeline failures.
- Drive the design and implementation of AI agentic workflows for data quality and analytics.
- Influence the broader engineering organization's data strategy.
Requirements
- 8-10+ years of software engineering experience.
- At least 4 years building production data platforms at scale.
- Proven track record of Staff-level technical leadership.
- Deep expertise in Python and SQL/dbt.
- Fluency in modern orchestrators such as Dagster, Airflow, or Temporal.
- Experience with cloud data warehouses like BigQuery or Snowflake.
- Demonstrated ownership of data platform components including schema design, quality, lineage, and reliability.
- Strong product judgment with the ability to translate consumer needs into data contracts.
- Excellent written and verbal communication skills.
- Ability to work in-person within commuting distance of San Francisco, Seattle, or New York City.
Skills
- Python
- SQL
- dbt
- Data Engineering
- System Architecture
- GCP
- BigQuery
- Snowflake
- Data Quality Frameworks
- Pipeline Observability
- AI Agentic Workflows
- Apache Spark
- Apache Beam
- Apache Iceberg
Location
- San Francisco, CA
- Seattle, WA
- New York City, NY
Work Type
- Full-time
- In-person
Experience Level
- Staff Software Engineer
- 8-10+ years of experience
Benefits
- Flexible PTO
- Equity
- Health, dental, and vision insurance
- WFH stipend
- Events and offsites
- Free lunch for office days
- New parent leave
About the Company
- Leading incrementality platform for optimizing ad spend.
- Utilizes causal inference-based econometric models for marketing experiments.
- Founding team includes former employees from Google, Netflix, Meta, and Amazon.
- Backed by top-tier VCs including Insight Partners, Baseline Ventures, and Haystack.
- Recognized as a 2025 LinkedIn Top Startup.
Equal Opportunity
- Haus is an equal opportunity employer.
- Hiring decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.
- Committed to an inclusive culture and diverse perspectives.