Technical Lead – Azure Databricks Data Platform
Deloitte · London, United Kingdom ·
- Seniority
- Lead
- Employment
- Contract
- Category
- Data engineering
Contract Role: Technical Lead – Azure Databricks Data Platform
Contract Location: London Hybrid
Contract Duration: 6 months
Contract Start Date: Immediate
Contract Classification: Inside IR35
Daily Rate breakdown
Traditional Daily Rate: £700
Agreed Contract Rate (ACR): £540.09
Equivalent Annual Salary: £140,424.06
Payroll provider: Rockford Payroll Info for Contingent Workers - Rockford Pay
Overview:
We are seeking a highly experienced Technical Lead with deep expertise in the Azure Data Platform and Databricks ecosystem. The ideal candidate should have strong hands-on experience with Structured Streaming, Delta Live Tables (DLT), PySpark architecture, Python, and SQL, and a proven track record of delivering large-scale enterprise data platforms.
Key Responsibilities
- Leading the design, development, and implementation of scalable, high-performance data solutions on Azure and Databricks.
- Defining and driving data strategy, data governance, data quality, and platform best practices.
- Optimising platform runtime performance and managing overall cloud costs, with a strong focus on Databricks streaming workloads.
- Providing end-to-end technical leadership, from solution architecture through delivery and production support.
- Collaborating with business stakeholders to understand requirements and translate them into robust technical solutions.
- Demonstrating strong ownership, accountability, and stakeholder management skills.
Essential Skills & Experience
- Strong hands-on experience with Structured Streaming, Delta Live Tables (DLT), PySpark architecture, Python, and SQL, and a proven track record of delivering large-scale enterprise data platforms
- Experience within the financial trading domain, including knowledge of trading data models and related business processes
- Ability to drive technical decision-making, mentoring engineering teams, and ensuring successful delivery of business outcomes.
- Excellent communication skills, strong leadership capabilities, and the ability to influence technical direction while delivering complex data solutions from concept to implementation.