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.
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We think this is how you could land Senior Data Architect
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We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Careerwise Uk
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
