Own the vision and roadmap for engagement and top‑of‑funnel data products that serve partners across Growth, Shopping, Marketing, and Experimentation teams.
Lead a team of data engineers working with petabyte‑scale clickstream and engagement datasets.
Spearhead new data products in critical areas like Growth, Shopping, retention, and SEO/traffic, building foundational components of Zillow’s enterprise‑wide engagement data model.
Serve as a bridge between technical and business leaders, translating ambiguous, high‑level goals into clear data strategies and execution plans.
Build a team culture that prioritizes proactive problem‑solving, strong ownership, and thoughtful support for people’s growth and well‑being.

A BS+ in Computer Science or a related field, and 8+ years in data or software engineering on data‑intensive systems, including 4+ years managing engineers.
Proven track record of building and scaling high‑impact data engineering teams and data products.
Significant experience designing and operating pipelines over billions of events and petabyte‑scale datasets, ideally including clickstream, web/app analytics, or engagement/retention data.
Strong hands‑on experience with SQL, Python, Spark, and modern data platforms and orchestration tools (e.g., Databricks, Airflow/Prefect/Dagster, and AWS or another major cloud provider).
Demonstrated ability to partner with cross‑functional stakeholders (e.g., Data Science/ML, Product, Marketing, Analytics, Data Platform) and drive shared outcomes.
Exceptional verbal and written communication skills, including experience presenting complex topics to Director+ or VP‑level audiences.
A consistent track record of proactively identifying problems and opportunities, aligning stakeholders, and driving end‑to‑end execution.
Nice to have: Experience building data products for experimentation, marketing measurement, or growth analytics, and familiarity with dbt or semantic/metrics layers for standardized metrics.
Experience leading distributed or hybrid teams and working effectively across time zones.

Senior Manager, Software Development Engineering, Big Data

Key skills