Description of the job
Job Description
- Lead data discovery engagements and maturity assessments to uncover systemic challenges such as low data quality, legacy complexity, poor ownership, and governance breakdowns.
- Translate ambiguous client challenges into structured data strategies and actionable roadmaps.
- Architect data operating models and data governance frameworks to instill ownership, accountability, and regulatory alignment.
- Design and oversee end-to-end data transformations, including ingestion, cleansing, modelling, and analytics enablement.
- Provide solution direction across Azure, AWS and Databricks platforms, leveraging modern toolchains (e.g. dbt, Delta Lake, Fabric) to build scalable, governed pipelines.
- Act as a trusted advisor to business and IT leaders, guiding decision-making on platform adoption, team structure, and data enablement priorities.
- Collaborate with multidisciplinary teams—data engineers, architects, analysts, and business SMEs—to deliver value-focused outcomes.
- Promote data stewardship, quality control, metadata management, and best practices across delivery engagements.
- Support change management initiatives through coaching, stakeholder engagement, and capability uplift.