Title of Role: Staff Data Platform Architect
Locations: London UK
Job Description:
The 1E Platform helps IT teams improve end user experience, tighten security, reduce costs, and evolve operations from cost centre to strategic enabler. Over one-third of the Fortune 100 rely on 1E’s single-agent solution with real-time automation and remediation for more visibility, control, compliance, and observability.
As a Staff Data Platform Architect at 1E, you will play a pivotal role in shaping and executing our data strategy as we transition to a SaaS-only company by the end of 2025. 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.
How you’ll achieve success in this position?
* 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.
What you’ll need to succeed?
* 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.
Required Qualifications & Certification:
* Bachelor’s or master’s degree in Computer Science, Data Science, Information Technology, or a related field.
Join Us:
If you're passionate about driving innovation, embracing new challenges, and cultivating a healthy work-life balance, we invite you to join us at 1E. Our hybrid-first model offers the flexibility to work where you're most productive—whether it's in our vibrant office spaces or from the comfort of your own home.
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