Staff Data Platform Engineer
6 days ago
Estimated Salary: £120,000 - £150,000 per annum
About the Role:We are seeking a highly skilled Staff Data Platform Engineer to join our team at 1E. As a key member of our engineering department, you will play a pivotal role in shaping and executing our data strategy.
Company Overview:1E is a leading provider of IT automation solutions that help organizations improve end-user experience, tighten security, reduce costs, and evolve operations from cost centres to strategic enablers.
Job Description:In this role, you will collaborate closely with departments such as Engineering, Product Development, and Operations to design and implement cutting-edge data solutions that optimize cost, performance, and scalability.
Key Responsibilities:- Lead the hands-on development and execution of a comprehensive data strategy focused on AI, scalability, availability, and cost efficiency.
- Migrate all data workloads from SQL Server to a data lake using Databricks for data ingestion, processing, and serving.
- Champion and implement best practices for Databricks across the organization to ensure optimal alignment.
- Develop innovative solutions to create a fully elastic data layer that reduces platform costs and accelerates feature delivery.
- Restructure data entities to support AI, reporting, and platform insights, ensuring 100% of data is accessible through Databricks.
- Design and enforce a robust data governance framework for regulatory compliance and high data quality, ensuring our platform is FEDRAMP-ready.
- Extensive experience designing and implementing large-scale enterprise data solutions.
- Expertise in Databricks, including medallion architecture, Delta Sharing, Unity Catalog, and SQL Warehouse.
- Proven track record in developing data strategies for scalable platforms.
- Strong experience with cloud technologies like data lakes and Kafka, including ingestion technologies like structured streaming.
- Proficiency in Python and SQL for building and optimizing ETL processes and data pipelines.
- In-depth understanding of data privacy, regulatory compliance, and governance frameworks.
- Excellent collaboration and mentorship skills to guide teams on best practices in Databricks implementation.
- Bachelor's or master's degree in Computer Science, Data Science, Information Technology, or a related field.
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