Data Governance & Management Solution Architect & Presales Support @ Expleo

We are looking for a Senior Data Governance Solution Architect who can lead data consulting, solution design, and delivery for multiple clients supporting data practice role. This role requires strong technical skills along with the ability to engage with customers, support presales teams, and help win new business. You will work with clients and internal teams to design data governance strategy, frameworks, solutioning and implementation of data governance, catalogs, data quality, lineage, privacy and security and AI Governance. Ability to learn and acquire the new skills quickly and a pro-active with strong problem solving capability. Should have done multiple end to end data governance, data quality implementations. Experience with Banking customers is plus. Responsibilities

• Key Roles & Responsibilities 1. Data Governance Architecture & Strategy
  • Define and lead enterprise data governance architecture aligned with business objectives and regulatory requirements.
  • Design end-to-end data governance frameworks , including:

    • Data ownership and stewardship models
    • Policies, standards, and controls
    • Operating models and governance workflows
    • Translate business and regulatory requirements into scalable technical governance solutions .
    • Advise clients on data governance maturity models and roadmap development. 2. Solution Design & Implementation (Collibra & Informatica Focus)

      • Lead end-to-end implementation of data governance solutions using:

        • Collibra Data Intelligence Cloud (Catalog, Governance, Lineage, Privacy & Risk, AI Governance)
        • Informatica (IDMC, Axon, Enterprise Data Catalog, Data Quality, MDM integrations)
        • Architect and implement:

          • Data cataloging and metadata management
          • Business glossary and policy management
          • Technical and business lineage
          • Data quality rules, scorecards, and issue management
          • Privacy, consent, and sensitive data classification
          • Integrate Collibra and Informatica with cloud data platforms and enterprise systems.
          • Ensure solutions are secure, scalable, and aligned with modern data architectures . 3. Modern Data Stack Enablement

            • Design governance solutions for modern data stacks , including:

              • Cloud platforms: AWS, Azure, GCP
              • Data warehouses/lakehouses: Snowflake, Databricks, BigQuery, Redshift, Synapse
              • Data lakes and streaming platforms
              • BI and analytics tools
              • Enable governance-by-design across CI/CD pipelines, data ingestion, and analytics workflows.
              • Integrate governance with data engineering, analytics, and AI/ML platforms . 4. AI, Privacy, and Security Governance

                • Design and implement AI Governance frameworks , including:

                  • Model metadata management
                  • Data lineage for AI/ML pipelines
                  • Responsible AI controls and compliance
                  • Implement data privacy and security governance , including:

                    • PII identification and classification
                    • Regulatory compliance (eg, GDPR, CCPA, BCBS, SOX)
                    • Role-based access, policy enforcement, and auditability 5. Client Engagement & Consulting Leadership

                      • Act as a lead architect and trusted advisor for client engagements.
                      • Conduct workshops and discovery sessions with business, data, and IT stakeholders.
                      • Provide architectural guidance, best practices, and thought leadership.
                      • Lead and mentor delivery teams (architects, developers, consultants).
                      • Ensure successful delivery across multiple concurrent client engagements . 6. Pre-Sales & Practice Enablement

                        • Support pre-sales activities , including:

                          • Solution architecture and design
                          • RFP/RFI responses
                          • Technical presentations and demos
                          • Collaborate with sales and leadership to shape data governance offerings .
                          • Contribute to practice assets, accelerators, reference architectures, and reusable frameworks.
                          • Stay current on Collibra, Informatica, and modern data ecosystem trends. Required Qualifications Education

                            • Bachelordegree in Computer Science, Information Systems, Engineering, or related field (Masterpreferred). Experience

                              • 10+ years of overall data and analytics experience.
                              • 5+ years in data governance, data management, or metadata management roles.
                              • Proven experience delivering multiple end-to-end data governance implementations .
                              • Strong hands-on experience with:

                                • Collibra Data Intelligence Cloud
                                • Informatica (IDMC, Axon, EDC, EDQ)
                                • Experience working with banking or financial services clients is a strong plus. Technical Skills

                                  • Deep expertise in:

                                    • Data Governance, Data Catalog, Metadata Management
                                    • Data Quality, Lineage, and Master/Reference Data concepts
                                    • Privacy, Security, and Regulatory Compliance
                                    • Strong understanding of modern data architectures and cloud-native platforms.
                                    • Experience integrating governance tools with:

                                      • Data warehouses, lakehouses, ETL/ELT tools, BI platforms
                                      • Knowledge of APIs, metadata ingestion, and automation frameworks. Professional & Soft Skills

                                        • Strong client-facing and consulting skills with executive-level communication ability.
                                        • Proven ability to lead architecture discussions and influence stakeholders.
                                        • Excellent problem-solving and analytical skills.
                                        • Ability to learn new tools and technologies quickly .
                                        • Self-driven, proactive, and comfortable working in fast-paced environments. Preferred Certifications (Nice to Have)

                                          • Collibra Certification (Ranger, Expert, or Architect)
                                          • Informatica Certification (IDMC, Axon, DQ)
                                          • Cloud certifications (AWS, Azure, GCP) Qualifications

                                            B-Tech , MCA Essential skills

                                            • Required Qualifications

                                              • 15+ years of experience in Data Architecture, Data Engineering, or Solution Architecture.
                                              • Strong experience in data modeling, data warehousing, and modern data platform design.
                                              • Hands-on experience with cloud data platforms such as AWS, Azure, GCP, Databricks, Snowflake, Informatica, etc
                                              • Experience building scalable and cost-effective cloud-based data solutions.
                                              • Good understanding of data governance, security, and compliance.
                                              • Strong communication and consulting skills; able to work with multiple clients and teams.
                                              • Experience in presales, proposal writing, and responding to RFPs/RFIs. Desired skills
                                                • Experience supporting presales, proposal writing, and RFP/RFI responses in an IT services environment.
                                                • Exposure to AI/ML solution architectures and integrating AI capabilities within data ecosystems.
                                                • Strong problem-solving skills and ability to operate in multi-client, multi-domain environments. Experience

                                                  15+