At a Glance
- Tasks: Design and implement data architecture using Azure Databricks and medallion architecture.
- Company: Join a leading firm in the utilities sector with a focus on innovation.
- Benefits: Competitive salary, travel opportunities, and professional development in a dynamic environment.
- Other info: Engage with senior stakeholders and enjoy excellent career growth opportunities.
- Why this job: Make a significant impact on data solutions while working with cutting-edge technologies.
- Qualifications: 8+ years in data architecture, strong Azure Databricks and Apache Spark skills required.
The predicted salary is between 70000 - 90000 £ per year.
Required Skills & Experience
- Must Have
- 8+ years of data architecture experience with at least 3 years hands-on with Azure Databricks in production environments
- Proven experience designing and implementing medallion architecture (Bronze / Silver / Gold) using Delta Lake on Azure Databricks
- Strong hands-on experience with Unity Catalog — metastore setup, catalog and schema design, access controls, and governance policies
- Experience configuring Azure Data Lake Storage Gen2 — containers, access control lists, lifecycle policies, and integration with Databricks
- Hands-on experience with Microsoft Fabric — specifically Mirrored Azure Databricks Unity Catalog and Power BI connectivity to Databricks SQL Warehouses
- Experience with enterprise data source integration — MS SQL Server (on-premises and Azure SQL) and Oracle Database ingestion into Azure landing zones
- Strong Apache Spark skills — PySpark or Scala, optimisation, partitioning, and job scheduling in Databricks
- Experience assessing and remediating partially built or vendor-abandoned data platform implementations
- Proven ability to engage senior stakeholders — Architecture Council, CIO, CDO level — presenting technical findings in clear business language
- UK-based with ability to travel to Pennon client sites (South West England) — onsite presence required particularly in Weeks 1–2
- Highly Desirable
- Experience in the utilities, water, or regulated infrastructure sector — understanding of operational data, compliance requirements, and safety-critical system considerations
- Familiarity with Lakehouse Federation in Azure Databricks — federating queries across external data sources without full ingestion
- Experience with Azure Data Factory or equivalent ETL/ELT tooling for enterprise source ingestion pipelines
- Exposure to Delta Live Tables (DLT) for declarative pipeline management
- Experience with Power BI data modelling and DirectQuery / Import mode considerations for Databricks SQL Warehouse connectivity
- Familiarity with Azure Key Vault for secrets management and secure credential handling in Databricks
- Prior experience in a vendor transition or rescue engagement — inheriting and assessing another vendor's technical work
- Knowledge of Databricks Asset Bundles or Databricks Workflows for job orchestration
- TOGAF or equivalent enterprise architecture certification
Data Architect employer: Infotree Global Solutions
As a leading employer in the data architecture field, we offer an innovative work culture that fosters collaboration and creativity, particularly for our Data Architects. Located in the picturesque South West of England, our team enjoys a supportive environment with ample opportunities for professional growth, including access to cutting-edge technologies like Azure Databricks. We prioritise employee well-being and development, ensuring that our staff are equipped to thrive in their roles while contributing to meaningful projects in the utilities and regulated infrastructure sectors.
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We think this is how you could land Data Architect
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We think you need these skills to ace Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
