About the Role We are seeking a highly experienced Senior Enterprise Data Engineer to join our enterprise data leadership team. This strategic, senior‑level position is responsible for defining, designing, and governing the long‑term vision of our
Our client is seeking an experienced Data Architect with strong expertise in modern cloud data platforms, including Azure Databricks, AWS, Snowflake, Azure Synapse, and Azure Data Factory (ADF) . The ideal candidate will have a solid
Job description: Data Management Assessments: Evaluate data management maturity to identify improvement areas in compliance and efficiency Data Governance Operating Models: Support the execution of the firms Data Governance Framework in line with DAMA, DCAM, and
Education: 4-year tertiary degree (required) in Computer Science, Data Science, Information Systems, or a related field. Masters degree / MBA (advantage). Certifications (advantage): Certified Data Management Professional (CDMP) or equivalent. Data governance certification (e.g., DCAM). Cloud
SUMMARY: Our client is seeking an experienced Data Architect with strong expertise in modern cloud data platforms, including Azure Databricks, AWS, Snowflake, Azure Synapse, and Azure Data Factory (ADF) . The ideal candidate will have a
Job Summary Accountable for shaping and advising on the IT functional operating model to introduce and scale enterprise data platforms—including the shared enterprise data warehouse, lakehouse, ingestion and transformation frameworks, and governed data products. Leads engineering
The Manager: AI Data Governance & Data Management is responsible for leading and operationalizing an enterprise-wide AI data governance and data management framework that ensures organizational data is trusted, secure, accessible, and managed as a strategic