Principal Architect - Data Governance

Title: Senior / Principal Architect – Data Governance

YOE: 15-20 Years

Location: Chennai, Bangalore, Hyderabad

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 5000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

JOB DESCRIPTION

As a Data Governance Senior/Principal Architect, your work is a combination of hands-on contribution, customer engagement, and technical team management including assisting in getting new business. Overall, you'll design, architect, deploy, and maintain big data-based data governance solutions.

More specifically, this will involve:

• Leading enterprise-wide Data Governance strategy, architecture, and roadmap definition for large-scale data transformation initiatives.

• Owning the full lifecycle of Data Governance programs, including assessment, solution design, implementation, adoption, and optimization.

• Architecting scalable governance solutions covering metadata management, data catalog, lineage, data quality, privacy, security, and compliance.

• Advising CDOs, CIOs, and senior business stakeholders on governance operating models, stewardship frameworks, and governance best practices.

• Driving architecture and implementation across cloud ecosystems including Azure, AWS, and GCP.

• Leading technical solutioning, proposal development, RFP/RFI responses, estimations, and client presentations for strategic opportunities.

• Building reusable governance accelerators, frameworks, reference architectures, and best practices.

• Collaborating with business consultants, data engineers, architects, analysts, and AI teams to deliver integrated data and AI solutions.

• Evaluating emerging technologies in Data Governance, AI Governance, Metadata Management, and Data Observability.

• Supporting account growth, new business acquisition, and executive-level client engagements.

• Leading, mentoring, and developing teams of architects, governance consultants, and engineers.

• Driving innovation, thought leadership, and capability development within the Data Governance practice.

What do we expect

• 15+ years of overall experience in Data Management, Data Engineering, Analytics, or Enterprise Data Platforms.

• 10+ years of experience architecting and delivering enterprise-scale Data Governance solutions.

• Proven experience leading governance strategy, architecture, consulting, and transformation programs.

• Strong experience in client-facing consulting, stakeholder management, and executive communication.

• Demonstrated experience in leading RFPs, RFIs, solutioning, proposal creation, and pre-sales activities.

• Hands-on experience with Data Governance platforms such as Alation, Collibra, Atlan, Purview, Unity Catalog, Informatica IDMC, Ataccama, Securiti.ai, Immuta, OpenMetadata, or equivalent solutions.

• Deep understanding of Data Catalog, Business Glossary, Metadata Management, Data Quality, Data Profiling, Data Lineage, Governance Automation, and Data Stewardship.

• Experience implementing governance solutions across structured, semi-structured, and unstructured data ecosystems.

• Knowledge of AI Governance, GenAI-driven metadata management, and modern data architecture concepts is highly desirable.

Expertise and Qualification

• Expertise in enterprise-scale Data Governance, Metadata Management, Data Quality, Data Lineage, and Data Privacy solutions.

• Familiarity with Databricks, Snowflake, BigQuery, Synapse, and modern cloud data platforms.

• Experience defining governance operating models, policies, standards, and adoption frameworks.

• Understanding of Data Mesh, Data Products, and modern data management principles.

• Hands-on experience with monitoring, observability, performance optimization, and governance automation.

• Exposure to Python, AI/ML, and GenAI technologies will be an added advantage.

• Bachelor's or Master's degree in Engineering, Computer Science, Information Systems, or a related field; MBA is a plus.

You are important to us, let's stay connected!

Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.