4 of 4 Technical Debt Jobs in Worcester

technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards and technical roadmaps Designing conceptual, logical and physical data models Remaining hands-on with Databricks, notebooks, pipelines and data modelling Supporting the delivery of internal … customer-facing data products Reviewing technical designs and helping engineering teams make sound architectural decisions Establishing reusable patterns and reducing duplication and technical debt Supporting data quality, metadata, lineage and access controls through Unity Catalog Designing batch, streaming and event-driven integration approaches Helping migrate data from ...

efficient scale Establish appropriate guardrails for the migration of customer data between legacy and modern cloud platforms, while evaluating emerging technologies and reducing technical debt Mentor and provide technical direction to data and engineering teams Job Requirements: Strong understanding of enterprise data architecture patterns and integration approaches ...

customer data from legacy platforms to modern cloud environments Reviewing solution designs to ensure scalability, reusability, security and architectural alignment Reducing duplication and technical debt across the data landscape Working closely with Data Governance around metadata, lineage, data quality, privacy and compliance Supporting governance capabilities within Databricks Unity … Catalog Providing technical direction and mentoring to data and engineering teams Evaluating emerging technologies and helping shape future data capabilities What we’re looking for We are looking for someone with strong experience operating at enterprise Data Architect level , ideally within a complex transformation environment. You should have: Strong ...

Catalog. Review solution designs for architectural alignment and risk reduction, eliminating duplication and maximising reusability at cost-efficient scale. Evaluate emerging technologies and reduce technical debt. Mentor and provide direction to data and engineering teams. Establish effective guardrails to ensure smooth migration of customer data between heritage and modern ...