Design and deliver enterprise data products on Databricks
owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across the business
Lead the hard problems in the domain
entity resolution, master data, integration of acquired systems, and the engineering complexity of operating across multiple ERP and CRM platforms
Define and evolve engineering standards
dbt patterns, ingestion patterns, data contracts, testing, observability
and contribute to cross-cutting standards across the wider data function
Own data quality and contracts for the data products you ship
implementing quality checks, maintaining contracts as the interface between producers and consumers, and ensuring issues are caught early and remediated cleanly
Raise the technical bar around you
through code review, design input, pairing, and the kind of senior IC presence that lifts the engineers and analysts you work with
Translate operational complexity
multi-system landscapes, ongoing integrations, fragmented source systems
into clean, durable engineering execution that the business can rely on

5+ years in data engineering, with demonstrable experience operating in a senior IC capacity
Hands-on production experience with Databricks
Hands-on experience with dbt
Strong SQL and Python
Experience working with enterprise data sources
CRM, ERP, or finance systems
Track record of defining and applying engineering standards across testing, CI/CD, documentation, and observability
Experience operating in complex environments
multi-system landscapes, integration programmes, or platform migrations
Strong communication skills
credible with engineers, analysts, and senior business stakeholders, and able to translate technical decisions into business impact.

Principal Data Engineer

Key skills