At a Glance
- Tasks: Design and scale a unified data ecosystem using modern Lakehouse architecture.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on advanced analytics and real-time data practices.
- Why this job: Make a significant impact by transforming data into a strategic asset.
- Qualifications: 5+ years in data architecture with expertise in cloud platforms and data models.
The predicted salary is between 70000 - 90000 £ per year.
The Senior Data Architect will design and scale our unified data ecosystem, transitioning from siloed systems to a modern Lakehouse architecture. This role will define the data models and architecture that connect Salesforce (CRM), Sage Intacct (ERP), and product telemetry into a high-performing Databricks environment, ensuring data is a strategic asset across the business.
Main responsibilities:
- Design Unified Data Models: Create conceptual, logical, and physical models that connect customer, product, and financial data across systems.
- Lead Lakehouse Architecture: Define and scale Databricks architecture (Bronze/Silver/Gold layers) to support analytics and AI/ML use cases.
- Drive Data Consistency & Quality: Establish “golden record” standards, data governance, and proactive data quality frameworks.
- Enable Lead-to-Cash Visibility: Align CRM and ERP data to support accurate revenue recognition and end-to-end business insights.
- Support M&A Integration: Develop scalable data onboarding patterns to integrate acquired company data efficiently.
- Power Business Insights: Enable use cases across Sales, Product, Support, and Finance through integrated, high-quality data.
- Modernize Data Practices: Implement data-as-code, CI/CD for data pipelines, and real-time/event-driven data architecture.
Essential criteria:
- 5+ years of experience in a senior data architecture role, with strong expertise in cloud data platforms (e.g., Databricks, lakehouse environments).
- Proven experience designing and implementing enterprise-scale data models across multiple systems.
- Deep understanding of Salesforce data architecture and integration patterns.
- Experience working with cloud ERP systems (e.g., Sage Intacct, NetSuite, Workday) and financial data models.
- Strong proficiency in SQL, data modeling (ERD), and data transformation practices.
- Experience with data governance, data quality frameworks, and master data management.
- Experience in M&A environments, particularly data integration and migration strategies.
- Experience with Databricks Lakehouse architecture, including Unity Catalog and medallion design patterns.
- Ability to translate complex data concepts into clear business value for technical and non-technical stakeholders.
Desirable criteria:
- Familiarity with AI/ML data readiness and supporting advanced analytics use cases.
- Exposure to event-driven architectures, APIs, and real-time data pipelines.
- Experience with data-as-code practices, including Git-based version control and CI/CD for data workflows.
- Knowledge of product analytics or SaaS telemetry data integration.
Senior Data Architect employer: Careerwise Uk
As a Senior Data Architect at our innovative company, you will thrive in a dynamic remote work environment that champions collaboration and creativity. We offer competitive benefits, a strong focus on employee development, and opportunities to lead transformative data initiatives that drive business success. Join us to be part of a forward-thinking team that values your expertise and fosters a culture of continuous learning and growth.
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 space, especially those who work with Databricks or Salesforce. 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 showcasing your previous projects, especially those involving cloud data platforms and Lakehouse architecture. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and quality frameworks. Be ready to discuss how you've implemented these in past roles, as this is crucial for the Senior Data Architect position.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Architect
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, Salesforce, and ERP systems, and don’t forget to showcase your data modelling skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how your background aligns with our needs, especially in designing unified data models and driving data quality. Keep it engaging and personal.
Showcase Relevant Projects:If you've worked on projects that involved cloud data platforms or M&A integrations, make sure to mention them. We love seeing real-world examples of how you’ve tackled challenges similar to what we face.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Careerwise Uk
✨Know Your Data Models
Make sure you brush up on your understanding of data models, especially those related to Salesforce and ERP systems. Be ready to discuss how you've designed unified data models in the past and how they can connect customer, product, and financial data effectively.
✨Showcase Your Lakehouse Expertise
Since this role involves leading Lakehouse architecture, prepare to talk about your experience with Databricks and the Bronze/Silver/Gold layers. Have examples ready that demonstrate how you've scaled data architectures to support analytics and AI/ML use cases.
✨Emphasise Data Quality and Governance
Data consistency and quality are crucial for this position. Be prepared to explain your approach to establishing 'golden record' standards and proactive data quality frameworks. Share specific instances where you've implemented data governance successfully.
✨Translate Complexity into Value
You’ll need to communicate complex data concepts to both technical and non-technical stakeholders. Practice explaining your past projects in a way that highlights the business value they delivered, ensuring you can convey your insights clearly during the interview.
