At a Glance
- Tasks: Design and implement integrations between Databricks and Salesforce for seamless data flow.
- Company: Confidential financial services firm focused on data platform evolution.
- Benefits: Competitive salary, 20% bonus, and opportunities for professional growth.
- Why this job: Join a high-impact role bridging data and CRM in a dynamic environment.
- Qualifications: Experience in data engineering, Databricks, Salesforce integration, SQL, and Python.
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
Databricks / Salesforce Integration Engineer employer: Source Technology Limited
As a leading financial services firm, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. Our commitment to professional development is evident through tailored training programmes and opportunities for cross-functional collaboration, particularly in high-impact roles like the Data Integration Lead. Located in a vibrant city, we offer competitive salaries, generous bonuses, and a supportive environment where your contributions directly influence our data platform evolution.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks / Salesforce Integration Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to Databricks and Salesforce integration. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills through projects! If you’ve worked on any relevant integrations or data engineering tasks, make sure to highlight them in discussions. We love seeing real-world applications of your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Databricks / Salesforce Integration Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Integration Lead. Highlight your experience with Databricks, Salesforce, and any relevant data engineering skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can help us drive the next phase of our data platform evolution. Keep it engaging and relevant!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with Databricks, Azure Data Factory, and Salesforce integrations. We love seeing specific examples of how you've tackled similar challenges in the past!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Source Technology Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Salesforce knowledge. Be ready to discuss specific integration scenarios, as well as your hands-on experience with Spark, Delta Lake, and Azure Data Factory. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data integration before. Think about times when you had to optimise performance or troubleshoot issues between systems. This will show them that you're not just a tech whiz, but also a critical thinker.
✨Understand Their Business Needs
Research the financial services firm and understand their core business systems. Knowing how your role as a Data Integration Lead can impact their operations will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about their current data architecture, integration challenges, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
