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Metro location and broad cross-functional data responsibilities increase candidate competition.
Core data architecture skills are transferable, but enterprise governance favors sector-experienced candidates.
Enterprise architecture experience and Azure/AWS/data governance requirements enforce strict filters.
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Define and govern data and information management architecture for ERM, ensuring data quality, ownership, and lineage from capture to consumption.
Collaborate with product owners, engineers, data scientists, and business stakeholders to address data needs across the entire product lifecycle and meet corporate and regulatory reporting requirements.
Provide expert guidance on solution architecture and implement data applications using Azure, AWS, and cutting-edge technologies while building a data community for improved client and business outcomes.
Proven experience as an enterprise data architect with end-to-end implementation of data-intensive analytics projects involving data acquisition, ingestion, integration, transformation, and consumption.
Strong knowledge of data management and governance principles and data modelling techniques.
Experience with Azure and AWS data services and familiarity with big data architectures and emerging technology trends.
Familiarity with Agile methodologies, test-driven development, source control management, and automated testing. Work Experience Required: Not explicitly mentioned in the JD. Notice Period: Not explicitly mentioned in the JD.
Experienced in both business intelligence and data engineering domains with a strategic focus on data ecosystem advancement.
Operates effectively at the intersection of business and technology, collaborating across multidisciplinary teams including product owners and data scientists.
Comfortable leading architectural decisions and governance in complex, regulated environments involving corporate and compliance reporting.