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Zillow logo
Zillow

Reimagining real estate to make it easier than ever to move from one home to the next.

Senior Manager, Software Development Engineering – Big Data

Engineering ManagerEngineering ManagerOtherRemoteSeniorTeam 5,001-10,000Since 2006H1B SponsorCompany SiteLinkedIn

Location

California + 6 moreAll locations: California | Connecticut | New Jersey | New York | Maryland | Massachusetts | Washington

Posted

93 days ago

Salary

$206.7K - $330.3K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglishAirflowAWSPythonApache SparkSQL

Job Description

Senior Manager, Software Development Engineering – Big Data

Zillow

• Define & Drive the Data Roadmap: Own the strategy for engagement and top‑of‑funnel data products (clickstream, SEO, retention, and lifecycle marketing). Partner with Data Science, AI/ML, and Product leaders to identify gaps and deliver end‑to‑end solutions that define how Zillow understands the customer journey. • Lead & Scale a High‑Impact Team: Manage and grow a team of engineers, aligning them around measurable outcomes. Prioritize team health by balancing new product work with platform stability and ongoing operational work to prevent burnout. • Champion Engineering Excellence: Serve as a technical thought partner, raising the bar through rigorous design reviews, strong data modeling standards, and robust observability for petabyte‑scale systems. • Communicate with Influence: Translate complex technical trade‑offs into business‑relevant terms for senior leadership. Author clear design docs and stakeholder updates that align cross‑functional teams on scope, timelines, and expected impact. • Invest in People & Culture: Mentor talent through proactive career coaching and individual development plans. Foster an inclusive, psychologically safe environment where engineers feel supported, challenged, and respected.

Job Requirements

  • 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.

Benefits

  • Competitive base salary
  • Equity awards based on experience, performance, and location

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