Staff Data Platform Engineer

6 days ago


London, Greater London, United Kingdom 1E Full time

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.
Requirements:
  • 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.
Qualifications:
  • Bachelor's or master's degree in Computer Science, Data Science, Information Technology, or a related field.


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