Data Governance Architect

Job Description

Role Purpose:

The Data Governance Architect plays a pivotal role in shaping and refining the enterprise-wide data architecture across diverse data domains. This position involves evaluating and advancing modern data platforms, ensuring seamless ingestion, processing, and consumption mechanisms. By aligning architectural frameworks with business objectives, scalability demands, and long-term capability enhancements, you will contribute to building a robust data ecosystem that supports strategic decision-making and operational excellence.

In this leadership position, the architect will collaborate closely with cross-functional teams to translate business data requirements into sustainable architecture solutions. The role demands a forward-thinking approach to data governance and platform modernization, driving innovation while ensuring compliance with industry standards and enterprise policies.

Key objectives include:

• Developing comprehensive data architecture blueprints that integrate emerging technologies and support evolving business needs.
• Leading architectural design reviews and risk assessments to assure solution quality and performance.
• Promoting adoption of best practices and governance models to enable consistent data management across the organization.
• Mentoring technical teams to build expertise in data governance tools and methodologies.

By joining Wipro Technologies, you have the opportunity to shape the future of data management in a digitally transformative environment and contribute to innovative projects that empower business growth.

͏

Areas of Responsibility:

This role demands a blend of technical expertise and collaborative skills to execute the following responsibilities:

• Requirement Analysis: Engage proactively with business stakeholders, analysts, and development teams to thoroughly understand and document application-specific data requirements, workflow needs, and integration points. Translate these into actionable architectural elements.
• Designing: Architect high-level application and database designs that are aligned with organizational standards, incorporating scalable frameworks, reusable patterns, communication protocols, and consistent API strategies. Ensure that designs facilitate future enhancements and seamless integration.
• Integration Evaluation and Support: Assess the feasibility and impact of application integrations within existing system landscapes including databases, infrastructure, and third-party services. Provide technical guidance and support during implementation to mitigate risks and ensure smooth interoperability.
• Troubleshooting and Validation: Partner with quality assurance and deployment teams to troubleshoot design or integration issues post-deployment, ensuring the functional correctness and performance benchmarks are met. Provide rapid response for incident resolution and continuous improvement.

These responsibilities require a balance of strategic vision and hands-on involvement to deliver architecture solutions that are both innovative and aligned with business priorities.

͏

Key Competencies:

• Respectful Collaboration: Foster a work environment that values diverse perspectives, encourages open dialogue, and promotes mutual respect across all teams and stakeholders.
• Clear and Transparent Communication: Clearly articulate complex architectural concepts and decisions to technical and non-technical audiences, ensuring shared understanding and alignment.
• Stewardship and Accountability: Demonstrate responsibility for the integrity, quality, and sustainability of data architecture while upholding enterprise standards and ethical considerations.
• Responsiveness and Agility: Exhibit timely responsiveness to evolving project needs, emerging challenges, and stakeholder feedback, adapting approaches as necessary.
• Trust Building: Build and maintain trust through consistent delivery, ethical behavior, and fostering transparent relationships with all collaborators.

These competencies underpin effective leadership and contribute to a cohesive, innovative, and motivated work environment.

͏

Mandatory Skills:

• Proven expertise in Informatica Data Analyst tools and methodologies, including data profiling, lineage, governance, and metadata management.
• Strong understanding of data architecture principles and experience with enterprise data governance frameworks.
• Demonstrated ability to design and implement scalable data solutions utilizing modern data platforms and integration technologies.
• Experience in coordinating cross-functional teams and managing stakeholder expectations in complex data environments.
• Proficiency with data modeling, API design, and understanding of data security and compliance requirements.

Experience Level: 8-10 years in relevant data architecture and governance roles.

͏

About Wipro Technologies - Technology Services, TS - DATA ANALYTICS & AI:

Wipro Technologies is a global leader in IT services and consulting, dedicated to empowering businesses through innovative digital transformation solutions. Our Technology Services unit, particularly in Data Analytics & AI, combines deep industry expertise with cutting-edge technologies to provide insights-driven and agile solutions that address evolving market challenges.

We are committed to fostering an inclusive and dynamic work culture where creativity and continuous learning thrive. At Wipro, you will join a diverse team that values collaboration, innovation, and personal growth, providing opportunities to contribute meaningfully to high-impact projects.

Our commitment to reinvention is at the core of our culture. We encourage you to design your own career journey, embrace change, and grow alongside us as we shape the future of technology and business.

We invite you to be part of a forward-thinking organization that not only values your expertise but also supports your professional development in an environment built on trust and respect.