Job Description

Roles & Responsibilities

• Orchestrate the design and implementation of a robust data governance framework, ensuring data quality, consistency, and compliance across the organization.
• Lead the development and maintenance of a scalable data platform, optimizing performance, security, and accessibility for diverse data consumers.
• Define and enforce data governance policies, standards, and procedures, fostering a data-driven culture and mitigating data-related risks.
• Collaborate with cross-functional teams (engineering, product, business) to understand data needs, translate them into technical requirements, and deliver effective solutions.

Desired Candidate Profile

• Experience · 10+ years of experience in Data Engineering, Data Platforms, or Data Architecture · Proven experience leading data governance initiatives in large, regulated environments (Banking / Financial Services preferred) · Strong background supporting Global Markets / Investment Banking data domains is highly desirable Technical Skills · Strong hands-on experience with: o Azure Data Lake (ADLS) o Databricks / Delta Lake / Lakehouse architectures o Data quality, schema enforcement, and validation frameworks · Experience with data cataloging and governance tools (e.g., Unity Catalog, Informatica Axon or similar) · Solid understanding of: o Data modeling (analytical and canonical models) o Metadata management and lineage o Secure data access and entitlements · Good understanding of AI/ML and analytics enablement within governed data platforms Soft Skills · Strong ownership mindset with ability to work independently · Excellent stakeholder management and communication skills · Ability to translate regulatory and business requirements into technical solutions Comfortable working in complex, multi‑vendor, enterprise environments Skills data engineering data platforms data architecture azure data lake databricks delta lake lakehouse architectures