IT-Engineer- Data Platform Databricks

Key Responsibilities

Data Governance & Control

Define and implement data governance frameworks covering:

Data ownership, stewardship, and accountability

Data quality rules, controls, and monitoring

Metadata management, data cataloging, and lineage

Ensure compliance with regulatory, risk, and internal governance requirements across IB&M data assets

Partner with Risk, Compliance, and Audit teams to support regulatory use cases and thematic reviews

Data Platform Leadership

Lead the design and evolution of the IB&M Data Platform, aligned with enterprise standards

Drive governance capabilities across the Lakehouse architecture (ADLS, Databricks, Delta Lake)

Define platform standards for:

Data ingestion (batch / micro-batch / streaming)

Schema enforcement and validation

Data modeling and standardization

Secure data access and entitlements

Architecture & Engineering

Act as a technical authority for data architecture decisions within IB&M

Review and guide solution designs produced by internal teams and vendors

Ensure scalability, performance, reliability, and cost efficiency of the platform

Support hybrid architectures (Cloud + On Prem) where required by business or regulatory constraints

Enablement & Collaboration

Work closely with Data Engineering, Analytics, BI, AI/ML, and Business teams

Enable self service analytics while maintaining strong governance controls

Provide technical guidance, best practices, and design reviews across IB&M initiatives

Support onboarding of new use cases onto the GM / IB&M Data Platform

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:

Azure Data Lake (ADLS)

Databricks / Delta Lake / Lakehouse architectures

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:

Data modeling (analytical and canonical models)

Metadata management and lineage

Secure data access and entitlements

Good understanding of AI/ML and analytics enablement within governed data platforms

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