Senior Data Architect

1 month ago


Edinburgh, Edinburgh, United Kingdom https:www.energyjobline.comsitemap Full time

At Royal London, we are seeking a highly skilled Senior Data Architect to lead our Core Engineering team in the development of the Enterprise Data Platform (EDP). The EDP is a modern Data Lakehouse implementation on Azure Databricks, central to our data strategy and consisting of a core structured data warehouse area plus an attached data science/ML platform.

This role presents a fantastic opportunity for an experienced data engineer to help set up the core engineering team, define reusable frameworks, patterns, and standards, guide data modellers in the definition and extension of the silver layer data model, and manage Agile Engineering boards/backlogs.

Key responsibilities include designing and implementing Extract, Transform, and Load (ETL) processes across the Data Lakehouse to ensure efficient data movement with appropriate transformations, defining and publishing data engineering and ETL standards for the data platform, and analysing and communicating complex data engineering problems to senior audiences.

The ideal candidate will have extensive experience with Data Warehousing, ETL concepts, and data structure designs, including data pipelines and data marts (Inmon & Kimball approaches), as well as a broad understanding of BI and analytics tools, such as PowerBI, and optimising consumption against engineered data layers.

We are looking for a candidate with a broad knowledge within wider and adjacent data domains, such as ML/AI, Master Data Management (MDM), data analysis, and data modeling, and who is able to work with both structured and unstructured data to support downstream business outcomes.

Key skills include experience with Azure Databricks, Azure Data Factory, proficiency in SQL, Python, and PySpark, knowledge of Azure data lake, ADLS Gen 2 storage, and Azure services, and the ability to oversee data movement across platforms, including designing controls and technical checks for monitoring data pipelines.


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