RRemoteville

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Eve logoEve

Head of Data Engineering

Skills
AdvertisingAnalytical SkillsArtificial IntelligenceData AnalyticsElectrical And Instrumentation EngineeringEngineeringGo-To-Market Strategy
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Proven experience building a data warehouse and core data infrastructure from scratch at a high-growth SaaS or technology company
  • Deep expertise in data engineering including data modeling ETL ELT pipeline design and warehouse architecture
  • Strong proficiency with SQL and modern data stack tools such as Snowflake BigQuery Redshift dbt Airflow or Prefect
  • Experience integrating and modeling data from GTM systems such as CRM marketing automation billing and customer success platforms
  • Demonstrated ability to translate business workflows into durable data models that teams can rely on for decision-making
  • Comfort operating in early-stage environments with messy incomplete or inconsistent data
  • Strong cross-functional communication skills and ability to work closely with sales marketing CS finance and product teams
  • Experience owning architectural decisions for the data stack including tooling selection and infrastructure design
  • Familiarity with product analytics and event instrumentation across web or application platforms
  • Fluency with AI-assisted development tools such as Cursor Claude Code or GitHub Copilot
  • Entrepreneurial mindset with a desire to build and own a data function from the ground up

Nice to have

  • Entrepreneurial mindset
  • Cross-functional collaboration
  • High ownership
  • Curious mindset
  • Analytical thinking

Day to day

  • Design and build Eve’s data warehouse architecture from the ground up, including schema design and data modeling.
  • Develop reliable ETL and ELT pipelines that connect CRM product billing marketing and customer success systems.
  • Establish trusted business data models data quality governance and monitoring so teams can self serve insights with confidence.
  • Partner cross functionally with GTM finance product and engineering teams to translate workflows into durable data systems and help scale the data function over time.