Data platform Lead -RR-0399984
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Key skills for this role
About the Role
DXC Technology is seeking a Data Platform Lead to define data governance frameworks and lead the design of the IB&M Data Platform. The role requires 10+ years of experience in data engineering, governance, and Azure/Databricks expertise.
Key Skills for This Role
Responsibilities
- Define and implement data governance frameworks covering data ownership, stewardship, quality rules, metadata management, and lineage
- Ensure compliance with regulatory, risk, and internal governance requirements across IB&M data assets
- 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, schema enforcement, data modeling, and secure data access
- Act as a technical authority for data architecture decisions within IB&M
- Review and guide solution designs produced by internal teams and vendors
- Enable self service analytics while maintaining strong governance controls
Requirements
- 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 hands on experience with Azure Data Lake (ADLS), Databricks/Delta Lake/Lakehouse architectures
- Experience with data cataloging and governance tools (e.g., Unity Catalog, Informatica Axon)
- Solid understanding of data modeling, metadata management, lineage, and secure data access
- Strong ownership mindset with ability to work independently
- Excellent stakeholder management and communication skills
Full Job Posting
Data Governance & Control
- Define and implement data governance frameworks covering data ownership, stewardship, and accountability.
- Define data quality rules, controls, and monitoring.
- Manage 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, and 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.
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.
Mandatory Skills
- 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.
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.
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