Databricks Manager

We’re partnering with a technology-driven organisation undergoing a major data transformation and seeking a Databricks Manager to lead enterprise data engineering, analytics, and platform initiatives.

• 8+ years of experience in data engineering, analytics, or cloud data platforms \n

• 3+ years of leadership experience managing data engineering or Databricks teams \n

• Strong expertise with Databricks, Apache Spark, Delta Lake, and Lakehouse architecture \n

• Experience delivering enterprise-scale cloud data solutions on AWS, Azure, or GCP \n

• Deep understanding of data modelling, ETL/ELT frameworks, and modern analytics architectures \n

• Experience managing stakeholder relationships across technical and business functions \n

• Strong communication, leadership, and project delivery skills

This is a leadership opportunity for someone who combines hands-on Databricks expertise with proven experience building high-performing teams and delivering modern cloud data platforms at scale.

\n

\n

What You’ll Do

\n \n

• Lead and develop a team of Data Engineers, Analytics Engineers, and Platform Specialists \n

• Own the Databricks platform strategy, roadmap, governance, and operational excellence initiatives \n

• Drive the design and delivery of scalable Lakehouse solutions supporting analytics, AI, and business intelligence workloads \n

• Oversee development of batch and real-time data pipelines using Databricks, Spark, and Delta Lake \n

• Partner with business leaders, architects, and engineering teams to define enterprise data solutions \n

• Establish best practices around data quality, security, platform performance, and cost optimisation \n

• Champion automation, DevOps, and DataOps practices across the data engineering organisation \n

• Mentor technical teams and foster a culture of innovation, accountability, and continuous improvement \n

\n

\n