G MASS are seeking an experienced Data Engineering Enablement Lead to join a long-established global provider of specialist financial services.
This is a newly created leadership position within the data engineering practice. The successful candidate will lead an Enablement team split across Europe and North America, helping engineering teams across the business get the most from a centralised data platform built on Databricks. The role is focused on design rather than hands-on coding. You will act as a trusted advisor to internal stakeholders, shaping architecture and guiding best practice in performance, security and scalability.
What You'll Do
· Lead and develop a cross-location team of data professionals across Dublin and Toronto
· Build strong relationships with business and technology stakeholders, understanding their needs and translating them into platform solutions
· Define solution designs, reference architectures, and standards on Databricks (Delta Lake, Lakehouse, Unity Catalog)
· Coach teams on platform adoption, governance, and pipeline optimization
· Champion AI-assisted development (e.g. GitHub Copilot) and help teams use it effectively
· Collaborate with the Dublin-based and North America data engineering teams
Requirements
· Deep Databricks expertise, with a strong architecture or solution design background
· Consulting or client-facing experience, with proven relationship management skills
· Strong consultative and interpersonal skills, with the ability to influence without authority
· Experience managing teams across multiple locations
· Solid grounding in data modeling, SQL, Python/Spark, ETL/ELT patterns, and cloud platforms (AWS preferred)
· Hands-on experience using AI tools in the development process
· Excellent communication skills
Nice to Have
· Financial services experience
· Data governance framework experience
· AI/ML implementation experience
Tech Stack Databricks, AWS (S3, Glue, Lambda), Python, SQL, Delta Lake, Unity Catalog, Git, GitHub Copilot
Benefits
Length: Permanent
