Role Overview

We are seeking an experienced Business Data Architect to lead the development of end-to-end data flow maps, data lineage, and enterprise data landscape documentation that supports the organization's Data Strategy and Data Lakehouse transformation program. This role bridges business and technology teams to ensure critical data assets are understood, traceable, governed, and aligned to business objectives across multiple markets and systems.

The ideal candidate will work closely with Business, Data Engineering, IT, Governance, and Architecture teams to map data from source systems through the Data Lakehouse, identify data gaps, and establish a trusted foundation for analytics, reporting, AI, and regulatory compliance.

Key Responsibilities

Data Architecture, Lineage & Mapping

- Develop end-to-end data flow maps from source systems to Data Lakehouse consumption layers.
- Document data lineage, transformations, and dependencies for critical business data elements.
- Create and maintain enterprise data landscape views, including data availability across markets, products, and profit centers.
- Produce source-to-target mapping documents and support Data Lake hydration initiatives.

Data Inventory & Gap Analysis
- Build and maintain data inventories, business glossaries, data dictionaries, and metadata catalogues.
- Align business data requirements with conceptual and logical data models.
- Conduct data profiling and gap assessments to identify missing, incomplete, or inconsistent data.
- Support prioritization of data onboarding initiatives and consolidation efforts toward a single source of truth.

Stakeholder Management & Workshops
- Partner with Business, Data Engineering, Architecture, Governance, and Market IT teams to validate data flows and requirements.




- Facilitate workshops and discovery sessions to translate business needs into actionable data requirements.
- Drive alignment between business stakeholders and technical teams through explicit documentation and visual artefacts.
- Present findings, recommendations, and data landscape insights to senior leadership.

Governance & Data Quality
- Define and maintain Data Ownership and Accountability frameworks.
- Support compliance with data governance, privacy, regulatory, and data protection requirements.
- Ensure all lineage, mapping, and inventory documentation is audit-ready and version controlled.
- Contribute to data quality, stewardship, and metadata management initiatives.

Required Skills & Experience
- 7+ years of experience in Data Architecture, Data Analysis, Information Architecture, or Data Governance.
- 3+ years of experience in data lineage, data mapping, data flow documentation, or enterprise data landscape initiatives.
- Strong understanding of Data Lake/Lakehouse architectures, data modelling, MDM, metadata management, and data governance.
- Hands-on SQL skills with experience in data profiling and validation.
- Experience with data catalog and lineage tools such as Microsoft Purview, Collibra, Erwin, Lucidchart, Visio, or similar.
- Strong stakeholder management and workshop facilitation capabilities.
- Excellent documentation, communication, and presentation skills.

Preferred Qualifications
- Experience within Insurance, Reinsurance, Financial Services, or Commercial Lines domains.
- Exposure to enterprise data foundation, governance, or modernization programs.
- Knowledge of data privacy, regulatory, and cross-border data management requirements.
- Certifications such as DAMA CDMP, TOGAF, Azure Data, AWS Data, or equivalent are preferred.

📌 Data Architect (India)
🏢 EXL
📍 India