Expertise in data modelling in a variety of Big data environments in context of data warehousing cloud-based platforms (ideally with experience in AWS and GCP (Big Query preferred).
Extensive experience as a data modeller or architect in a regulated environment that requires solutions for regulatory, finance, risk, Analytics and AI.
Experience in establishing data architecture and data modelling related best practices, policies, standards and patterns to enhance productivity and quick decision making.
Hands on experience in data modelling methodologies like Data Mesh, Inmon, Kimbal etc.
Ability to work closely with Data Engineering leads from different teams simultaneously.
Experience in solution design and integration patterns in context of data platforms.
Experience in data governance, data management and data architecture practices
Experience across full life cycle of large-scale data warehousing initiatives.
Hands on experience in data modelling tools like Erwin with CI/CD.
Automation and AI for innovative problem solving.
Familiarity with Agile methodologies.
Experience in banking and finance domain.
Ability to work seamlessly with business and system SMEs, technical business analysts, product managers and senior stakeholders.