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 working 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 decisions.
- 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 Telford employer: Careerwise
As a leading innovator in the tech industry, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. Our Senior Data Architect role offers not only competitive benefits and opportunities for professional growth but also the chance to work with cutting-edge technologies in a vibrant location that encourages creativity and innovation. Join us to be part of a team that values your expertise and supports your career aspirations while making a meaningful impact in the world of data.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect in Telford
✨Tip Number 1
Network like a pro! Reach out to 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 data architecture, especially using Databricks and Salesforce. This gives you something tangible to discuss during interviews and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on common data architecture scenarios. Think about how you would design scalable solutions or tackle data governance challenges. We want you to be ready to impress with your problem-solving skills!
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Architect in Telford
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 mention any relevant projects that showcase your skills in data architecture.
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 experience with data governance and integration frameworks.
Showcase Your Technical Skills:We want to see your hands-on experience! Include examples of your work with Databricks Lakehouse architecture and any advanced SQL skills. If you've worked on AI/ML initiatives, make sure to mention that too!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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 the Medallion Architecture and be ready to discuss how you’ve implemented scalable data solutions in past roles.
✨Showcase Your Hands-On Experience
Prepare to share concrete examples of your hands-on experience with Databricks and Salesforce data models. Highlight any projects where you designed ETL/ELT pipelines or integrated various systems, as this will demonstrate your practical skills.
✨Communicate Like a Pro
Since excellent communication is key, practice explaining complex data concepts in simple terms. Be ready to discuss how you’ve partnered with stakeholders to translate business requirements into effective data solutions.
✨Stay Current with Best Practices
Familiarise yourself with the latest trends in DataOps, CI/CD, and data governance. Being able to discuss these methodologies and how you’ve applied them in your work will show that you’re not just experienced but also forward-thinking.
