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.
About the Role
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 Warrington employer: Careerwise
As a leading innovator in the tech industry, we offer our Senior Data Architect an exceptional work environment that fosters creativity and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diverse perspectives, all while being located in a vibrant city that enhances both professional and personal life. Join us to be part of a forward-thinking team where your expertise will drive impactful data solutions and shape the future of our enterprise data ecosystem.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect in Warrington
✨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 other candidates.
✨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 in past roles. We want to see your expertise shine through!
✨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 Warrington
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 fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background aligns with our needs. Let us know how you can contribute to our enterprise data ecosystem.
Showcase Relevant Projects:If you've worked on projects involving 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.
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. We can't wait to hear from you!
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 Lakehouse and Salesforce. Brush up on your knowledge of Bronze, Silver, and Gold data layers, as well as integration patterns. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Hands-On Experience
Prepare to share specific examples from your past roles where you’ve designed and implemented scalable data solutions. Highlight your experience with ETL/ELT pipelines and how you’ve partnered with stakeholders to translate business requirements into effective data strategies. Real-world examples will make your skills more tangible.
✨Demonstrate Your Communication Skills
Since this role involves working closely with both technical and non-technical stakeholders, practice articulating complex data concepts in simple terms. Be ready to explain how you’ve successfully managed stakeholder expectations and communicated project updates in previous positions.
✨Stay Updated on Best Practices
Familiarise yourself with the latest trends in DataOps, CI/CD, and data-as-code methodologies. Be prepared to discuss how you’ve applied these practices in your work. Showing that you’re proactive about staying current will impress interviewers and demonstrate your commitment to excellence in data architecture.
