3 of 3 Permanent Architectural Patterns Jobs in Worcester

integration architecture Designing solutions using Databricks as a core part of the data platform Supporting batch, streaming, event-driven, medallion and big data architecture patterns Establishing architectural guardrails for large-scale migration of 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 ...

operational activities Co-author data governance practices covering metadata, data quality, lineage, privacy and compliance within Databricks Unity Catalog Review solution designs to ensure architectural alignment, reduce risk, eliminate duplication and maximise reusability at an efficient scale Establish appropriate guardrails for the migration of customer data between legacy … 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, including batch, streaming, event-driven, medallion and big data architectures Advanced data modelling expertise, with the ability to apply industry ...

author data governance practices with the Data Governance Lead: metadata, data quality, lineage, privacy, compliance within Databricks Unity 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 … data between heritage and modern cloud platforms at scale. What you'll need to succeed Skills and Experience Strong knowledge of enterprise data architecture patterns and integration approaches (batch, streaming, event-driven, medallion, big data). Demonstrable experience in running long-term data migration projects between bespoke systems ...