Company: Careerwise
Location: London
Job Description:
Remote-UK-based
About the role
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 (eg, 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 (eg, Sage Intacct, NetSuite, Workday) and financial data models
- Strong proficiency in SQL, data modelling (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
Posted: June 3rd, 2026