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- Tasks: Lead data integration projects between Databricks and Salesforce for seamless data flow.
- Company: Confidential financial services firm with a focus on innovation.
- Benefits: Competitive salary, 20% bonus, and opportunities for professional growth.
- Why this job: Make a significant impact by optimising data platforms in a dynamic environment.
- Qualifications: Experience in data engineering, Databricks, Salesforce integration, SQL, and Python.
- Other info: Collaborative role with excellent career advancement potential.
The predicted salary is between 115000 - 130000 £ per year.
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
Data Integration Lead (Databricks & Salesforce) in London employer: SGI
Contact Detail:
SGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integration Lead (Databricks & Salesforce) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those who work with data integration. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got experience with Databricks and Salesforce, consider creating a portfolio or a project that highlights your expertise. This can be a great conversation starter during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common integration challenges and solutions. Be ready to discuss how you would tackle specific scenarios related to data flow between Databricks and Salesforce.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you a better chance of getting noticed.
We think you need these skills to ace Data Integration Lead (Databricks & Salesforce) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Salesforce. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Integration Lead role. Share your passion for data integration and how you can contribute to our team.
Showcase Your Technical Skills: Since this role requires strong SQL and Python skills, make sure to mention any specific projects where you’ve used these technologies. We love seeing real-world applications of your expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at SGI
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Salesforce knowledge. Be ready to discuss specific integration scenarios and how you've tackled similar challenges in the past. This shows you're not just familiar with the tools, but you can also apply them effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with both Data Engineering and Salesforce teams, be prepared to share examples of how you've successfully collaborated across functions. Highlight any projects where teamwork led to improved data accessibility or integration performance.
✨Prepare for Technical Questions
Expect some deep dives into SQL, Python, and data architecture. Brush up on your ETL/ELT workflows and be ready to explain your thought process when designing integration patterns. Practising common technical interview questions can really help you feel more confident.
✨Demonstrate Problem-Solving Skills
Think of a few real-world problems you've solved in previous roles, especially those related to data integration. Be ready to walk through your approach, the challenges you faced, and the outcomes. This will show that you can think critically and adapt to new situations.