At a Glance
- Tasks: Lead the design of scalable data solutions and integrate cutting-edge technologies.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a high-growth environment.
- Why this job: Shape the future of data architecture and drive impactful AI-driven insights.
- Qualifications: 7+ years in Data Architecture with strong Salesforce and Databricks experience.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. In this role, you will architect scalable data solutions that integrate Salesforce CRM, ERP systems, and operational data into a modern Databricks Lakehouse platform, enabling trusted business insights, analytics, and AI-driven decision-making.
Key Responsibilities
- Design and implement enterprise-wide data architecture and data models across CRM, ERP, and business systems.
- Lead the development and optimization of Databricks Lakehouse architecture using Bronze, Silver, and Gold data layers.
- Architect and maintain Salesforce data models, integration frameworks, and customer data strategies.
- Establish data governance, master data management (MDM), and data quality standards.
- Design scalable ETL/ELT pipelines and data integration solutions.
- Partner with business and technical stakeholders to translate business requirements into data solutions.
- Support analytics, reporting, and AI/ML initiatives through high-quality, accessible data.
- Drive best practices for DataOps, CI/CD, and data-as-code methodologies.
Required Qualifications
- 7+ years of experience in Data Architecture or related leadership roles.
- Strong hands-on experience with Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, and Medallion Architecture.
- Proven expertise in Salesforce Data Architecture, including data modeling, object relationships, integration patterns, and CRM data design.
- Experience designing enterprise-scale data models and data integration frameworks.
- Advanced SQL and data modeling skills.
- Experience integrating Salesforce with ERP platforms such as Sage Intacct, NetSuite, Workday, SAP, or Oracle.
- Strong understanding of data governance, data quality, and Master Data Management (MDM).
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience supporting AI/ML and advanced analytics initiatives.
- Exposure to event-driven and real-time data architectures.
- Experience with Git, CI/CD pipelines, and DataOps practices.
- Experience in SaaS or high-growth technology environments.
Must-Have Skills
- Salesforce Data Architecture
- Databricks Lakehouse Architecture
Candidates without strong experience in both Salesforce Data Architecture and Databricks will not be considered.
Senior Data Architect in Crawley employer: Careerwise
As a Senior Data Architect at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages creativity and growth, all set in a vibrant location that fosters both personal and professional fulfilment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect in Crawley
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture field, especially those who work with Salesforce and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with Databricks and Salesforce data architecture. This will give you something tangible to discuss during interviews and set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of data governance and MDM. Be ready to share examples of how you've implemented these practices in past roles. We want to see your expertise shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Architect in Crawley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Architect. Highlight your experience with Databricks and Salesforce, and don’t forget to showcase your data architecture skills. We want to see how you can lead and innovate!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data architecture and how your background aligns with our needs. Be specific about your achievements and how they relate to the responsibilities listed in the job description.
Showcase Relevant Projects:If you've worked on projects that involved Databricks or Salesforce, make sure to mention them! We love seeing real-world examples of your work, especially those that demonstrate your ability to design scalable data solutions and integrate complex systems.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Careerwise
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the specifics of data architecture, especially around Databricks and Salesforce. Brush up on your knowledge of Lakehouse architecture and be ready to discuss how you’ve implemented scalable data solutions in past roles.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data integration challenges. Think about specific instances where you designed ETL/ELT pipelines or improved data quality standards, and be ready to explain your thought process.
✨Communicate Like a Pro
Since this role involves partnering with various stakeholders, practice articulating technical concepts in a way that’s easy for non-technical folks to understand. Clear communication can set you apart, so consider doing mock interviews with friends or colleagues.
✨Stay Current with Trends
Familiarise yourself with the latest trends in data governance, AI/ML initiatives, and DataOps practices. Being able to discuss current industry developments will show that you’re not just experienced but also passionate about the field.
