Accelero
Data Architect - Databricks
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Data Architect – Databricks (Azure/Microsoft)
Remote | Up to £130,000 | Permanent
We're working exclusively with a fast-growing data consultancy to find a Data Architect who can lead on Databricks-based platform design for their client base. This is a business that builds its reputation on getting enterprise data programmes right, and they're looking to add someone who can own the technical narrative from first workshop through to go-live.
The Role
This is a client-facing architecture role rather than a back-office one. You'll be trusted to walk into a client environment, understand what they're trying to achieve, and translate that into a Databricks platform that actually holds up at scale. You'll work predominantly on Azure, so a solid grip on the wider Microsoft data estate matters as much as your Databricks depth.
Key Responsibilities
- Own the end-to-end architecture of Databricks platforms built on Azure, from initial design through to production
- Act as the technical anchor point for clients — building trust, running workshops, and turning ambiguous requirements into a workable platform blueprint
- Work alongside engineering teams to make sure builds stay true to the intended architecture, stepping in when trade-offs need an experienced call
- Take ownership of your own workstreams, flagging risks or delivery issues to the client or internal leadership early rather than late
- Present technical concepts in a way that lands with both engineers and non-technical decision-makers
- Contribute to the wider practice — sharing what you learn, helping shape internal standards, and supporting the team's growth
- Get involved in pre-sales conversations when needed, helping shape proposals or scope out new engagements
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Essential Experience
- A track record of architecting data platforms while working for a consultancy, systems integrator, or similar client-facing environment
- Deep, hands-on knowledge of Databricks — comfortable discussing Delta Lake, Unity Catalog, and MLflow at a design level, not just in theory
- Confident across Azure's data services, with enough breadth to know when Databricks is the right tool and when it isn't
- Strong command of SQL and Spark (Python or Scala)
- Comfortable working across both cloud-native and legacy on-prem data sources
- A genuine handle on the fundamentals — governance, modelling, ETL/ELT, warehousing, MDM — not just the trendy parts of the stack
- Familiar operating in Agile/DevOps-run delivery teams, using Git and modern engineering tooling day to day
- Aware of established modelling approaches (Inmon, Kimball, Data Vault) and knows when to reach for which
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Desirable
- Comfortable supporting pre-sales — helping scope, cost, or pitch new work isn't something you'd shy away from
- Exposure to Azure Data Factory, Azure Synapse, or Microsoft Fabric
- Databricks certification (Data Engineer Associate or Professional)
What's on Offer
- Up to £130,000 depending on experience
- Fully remote
- A varied client portfolio rather than one long-term embedded contract
- A genuine say in how the practice's Databricks capability grows from here
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