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Senior 9+ years and niche enterprise data architecture skills reduce applicant density despite remote posting.
Strong requirement for enterprise data architecture, governance, and regulated banking experience limits cross-industry transferability.
Many mandatory enterprise data architecture skills, governance tools, and 9+ years experience make filtering highly strict.
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Define, implement, and maintain enterprise data architecture principles, standards, policies, and target-state architectures aligned with business and technology strategies.
Design and govern current, transition, and target-state data architectures and flows across multiple business domains, ensuring compliance with enterprise governance and standards.
Provide architectural leadership and governance, including establishing data governance functions, architecture review boards, and promoting adoption of modern data architecture paradigms like Data Lake, Data Mesh, and AI-enabled ecosystems.
9+ years of total professional experience.
Proven experience in enterprise data architecture strategy, governance, and data modeling using industry-standard methodologies (e.g., FSLDM, BIRD).
Hands-on experience with cloud data platforms such as Databricks or Snowflake and enterprise data governance tools like Collibra.
Bachelor’s or master’s degree in computer science, information technology, or a related field.
Experienced in financial services or banking domain with knowledge of regulatory environment and industry-specific data modeling frameworks.
Demonstrates capability to lead architectural governance forums and influence enterprise-wide data architecture decisions across multiple business domains.
Familiar with evaluating, selecting, and implementing modern enterprise data architecture tools and technologies, and comfortable working with stakeholders at multiple levels.