Data platform Lead RR-0399984

Job Description:

Responsibilities:

Data Governance & Control

Define and implement data governance frameworks covering:

oData ownership stewardship and accountability

oData quality rules controls and monitoring

oMetadata 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:

oData ingestion (batch / micro-batch / streaming)

oSchema enforcement and validation

oData modeling and standardization

oSecure 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

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:

oAzure Data Lake (ADLS)

oDatabricks / Delta Lake / Lakehouse architectures

oData quality schema enforcement and validation frameworks

Experience with data cataloging and governance tools (e.g. Unity Catalog Informatica Axon or similar)

Solid understanding of:

oData modeling (analytical and canonical models)

oMetadata management and lineage

oSecure 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

At DXC Technology we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing productivity individual work styles and life circumstances. Were committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services such as false websites or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process nor ask a job seeker to purchase IT or other equipment on our information on employment scams is availablehere.