ActiveOps
Head of Data Engineering
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The opportunity
We're looking for someone to own ActiveOps' data engineering strategy end to end; from architecture through to the people delivering it. You'll lead a multidisciplinary, data engineering and BI team, set the direction for our Databricks Lakehouse and reporting estate, and work directly with senior stakeholders to make sure data underpins everything from product delivery to day-to-day decision making.
This is a hands-on leadership role. You'll hold strategic ownership of the architecture while staying close enough to the work to jump into a pipeline or a performance problem when it matters. You'll be the person the business turns to as the subject matter expert on data engineering and BI.
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What you'll be doing
- Owning the data engineering strategy and roadmap, aligned to company objectives
- Setting technical direction for our Databricks platform, including its role feeding our products and internal analytics
- Designing and architecting a platform that supports modelling, analytics and reporting at scale
- Leading and growing a strong data engineering and BI team
- Ensuring data security, governance and risk across a multi-tenant, multi-region data platform
What we're looking for
- 5+ years leading a Data Engineering and BI team, ideally in SaaS or tech product
- Experience architecting and running a data platform at scale
- Hands-on Databricks or Spark experience, with modern ETL/ELT methods
- Strong T-SQL and database performance tuning skills
- A track record of turning business objectives into a data strategy stakeholders trust
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Nice to have:
- Delta Live Tables
- Unity Catalog
- Spark
- Python
- CI/CD workflows
- Power BI
- Experience in a regulated multi-tenant SaaS environment.
If you're a self-starter who wants to shape both the platform and the team that runs it; we'd love to hear from you.
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