Data Integration Lead (Databricks & Salesforce)

Greater London, South East, England

Apply by 22 Apr 2026

£115000 - £130000 per annum, Benefits: 20% Bonus

Job Ref.: BH-57064

Job Description

Job Title: Data Integration Lead (Databricks & Salesforce)
Salary: £115,000 - £130,000 20% Bonus
Company: Confidential Financial Services Firm

About the Role A leading financial services organisation is seeking a Data Integration Lead to drive the next phase of its data platform evolution, with a focus on integration and optimisation.

With Databricks now largely established and legacy pipelines approaching consolidation, the priority has shifted toward connecting the data platform with core business systems, particularly Salesforce.

This is a high-impact, cross-functional role positioned between a well-established Databricks team and a high-performing Salesforce function, with a clear mandate to design and own the integration layer between the two.

You will report directly to the Head of Salesforce, acting as the key technical bridge between data and CRM.

Key Responsibilities

Design and implement scalable integrations between Databricks and Salesforce
Enable seamless data flow between the data platform and business systems
Support the final consolidation phase of legacy ADF pipelines, ensuring clean integration into the target architecture
Develop and maintain reliable, well-governed data interfaces and APIs
Collaborate closely with Data Engineering and Salesforce teams to align on data models and integration patterns
Improve data accessibility and usability for downstream business processes
Monitor and optimise integration performance, reliability, and cost
Act as the subject matter expert for cross-platform integration

Required Skills & Experience

Strong background in data engineering or data integration
Hands-on experience with Databricks (Spark, Delta Lake)
Experience working with Azure Data Factory (ADF) in production environments
Proven experience integrating with Salesforce (APIs, data models, data sync patterns)
Strong SQL and Python skills
Experience designing robust ETL/ELT and integration workflows
Solid understanding of data architecture and system integration patterns

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