At a Glance
- Tasks: Lead the design of scalable data solutions and integrate systems for impactful insights.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and cutting-edge technology.
- Why this job: Shape the future of data architecture and drive AI-driven decision-making.
- Qualifications: 7+ years in Data Architecture with expertise in Salesforce and Databricks.
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 employer: Careerwise
As a Senior Data Architect at our innovative tech 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 while being located in a vibrant area known for its tech community and networking potential.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture field, especially those who have experience 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 expertise in data architecture, especially with Databricks and Salesforce. This will give you something tangible to discuss during interviews and set you apart from other candidates.
✨Tip Number 3
Prepare for the interview by brushing up on common data architecture scenarios. Think about how you would design scalable ETL pipelines or tackle data governance challenges. Being ready to share your thought process can really impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it gives us a chance to see your enthusiasm right from the start!
We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Architect role. 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 explain why you're the perfect fit for our team. Share specific examples of your past projects that align with the responsibilities listed in the job description. Let us know how you can contribute!
Showcase Your Technical Skills:We’re looking for someone with strong hands-on experience, so make sure to highlight your technical skills prominently. Mention your expertise in Databricks Lakehouse architecture and Salesforce data models. We love seeing those skills in action!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Careerwise
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data architecture, especially around Salesforce and Databricks. Brush up on your knowledge of data models, integration patterns, and the Medallion Architecture. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you've designed scalable data solutions or optimised existing architectures. Think about challenges you've faced and how you overcame them, particularly with ETL/ELT pipelines and data governance. This will demonstrate your hands-on experience and strategic thinking.
✨Communicate Like a Pro
Since this role involves partnering with various stakeholders, practice articulating complex data concepts in simple terms. Be ready to explain how you would translate business requirements into data solutions. Good communication can set you apart from other candidates.
✨Stay Current with Trends
Familiarise yourself with the latest trends in data architecture, especially around AI/ML initiatives and DataOps practices. Showing that you’re proactive about learning and adapting to new technologies will impress interviewers and highlight your commitment to the field.
