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Remote role plus mid-tier brand but niche senior specialization yields medium competition.
Banking enterprise data architecture demands domain-specific governance and modelling expertise, so high sensitivity.
Explicit 11+ years and many mandatory domain tools, models, and governance requirements make filters high.
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Define and drive enterprise data architecture strategy, standards, and target-state architecture specifically for banking domain data.
Develop and maintain data architecture roadmaps, governance forums, and review processes to ensure compliance and alignment with business and technology goals.
Collaborate across business, engineering, and analytics teams to design and implement scalable, reusable data solutions and guide cloud data platform usage (e.g., Databricks, Snowflake).
Minimum 11 years of total work experience.
Strong expertise in data architecture, enterprise architecture, or data engineering with hands-on experience in banking or regulated financial services domain preferred.
Proven experience with enterprise data architecture frameworks including data governance, data modeling (FSLDM or BIRD), data quality, and metadata management.
Bachelor's or master's degree in Computer Science, Information Technology, or related field.
Experienced in defining and executing enterprise-wide data architecture strategies and roadmaps within complex, regulated environments such as banking or financial services.
Proficient in modern data architectures (Data Lake, Mesh, Fabric) and cloud data platforms (Databricks, Snowflake) along with associated governance tools (Collibra, LeanIX, Ardoq).
Capable of leading cross-functional teams, establishing governance forums, and mentoring architects in enterprise data standards and practices.