Director of Engineering, Data
BuildOpsConstruction Tech company
Los Angeles, United States$203,000 - $271,000Director
Meritech Capital Partners
Next47
Founders Fund
BOND Capital
Schneider Electric's SE Ventures
Fika Ventures
Data & AI
About the role
TL;DR
Lead the unified Data & AI engineering function, owning data platforms and pipelines.
- •As Director of Engineering, Data, you will build and lead BuildOps' unified Data & AI engineering function.
- •You will own the platforms, pipelines, quality standards, and operating discipline that power AI and ML products.
- •Key Responsibilities Own BuildOps' data platform and architecture end to end.
- •Build scalable, repeatable customer and partner data onboarding capabilities.
- •Run data systems with production grade discipline.
- •Create the data foundation required for AI and ML products.
- •Establish governance that supports speed.
- •Hire, develop, and lead a strong data engineering team.
- •Requirements 10+ years in data or software engineering, including experience building and scaling teams of 10+ engineers.
- •Deep hands on experience with modern data platforms, including a cloud warehouse or lakehouse such as Snowflake or Databricks, dbt and ELT patterns, orchestration tools like Airflow, and streaming technologies such as Kafka or Kinesis, with AWS experience strongly preferred.
- •Direct experience building data systems that support production ML use cases.
- •A track record of operational excellence in data.
- •Experience delivering customer facing data products such as reporting, analytics, or APIs in B2B SaaS environments.
Required skills
SnowflakeDatabricksdbtAirflowAWSPythonSQL
Nice-to-have skills
TensorFlowPyTorchscikit-learn
Domain expertise
productivitydeveloper-tools
Benefits & perks
annual bonus, meaningful equity, comprehensive benefits package, flexible PTO, hybrid work schedules, one-time work-from-home allowance, lunch provided for in-office days, company events and team-building activities
Tech stack
PythonSQLSnowflakeDatabricksdbtAirflowAWSTensorFlowPyTorchscikit-learnGitLinuxDockerKubernetesCI/CD