Data Architect

Overview We are seeking an experienced Data Architect with 7 to 10 years of experience in designing and implementing enterprise data architectures, modern data platforms, and data governance frameworks. The ideal candidate will have proven experience in a Data Architect role and hands-on project delivery experience with at least one of the following technologies: • Informatica IDMC • Microsoft Fabric with Purview • Databricks This role requires strong expertise in enterprise data strategy, data modeling, governance, metadata management, data quality, MDM, and modern cloud data architectures. Key Responsibilities • Design and implement enterprise-wide data architecture aligned with business and technology strategies • Develop and maintain conceptual, logical, and physical data models • Define and implement data governance frameworks, standards, and best practices • Establish metadata management, data lineage, and data quality processes • Architect scalable Data Lake, Data Warehouse, and Lakehouse solutions • Lead data integration and ETL/ELT architecture initiatives • Collaborate with business stakeholders, data engineers, analysts, and governance teams • Evaluate and recommend data platform technologies and architectural standards • Support Master Data Management (MDM) initiatives across the enterprise • Ensure data platforms meet security, compliance, scalability, and performance requirements.Required QualificationsExperience • Minimum 7+ years of experience as a Data Architect • Proven experience designing enterprise-scale data solutions • Experience working with cloud-based data platforms, preferably Microsoft Azure • Must-Have Technical Skills • Enterprise Data Architecture • Data Modeling (Conceptual, Logical & Physical) • Data Governance • Metadata Management • Data Lineage • Data Quality Management • Master Data Management (MDM) • Data Lake Architecture • Data Warehouse Architecture • Lakehouse Architecture • Data Integration • Strong SQL expertise • Platform Expertise Hands-on experience with at least one of the following: • Informatica IDMC • Microsoft Fabric with Purview • Databricks Preferred QualificationsData & Analytics Technologies • Microsoft Purview • Azure Data Factory (ADF) • Azure Synapse Analytics • Snowflake • Power BI • Informatica Data Governance & Catalog • Informatica MDM • Unity Catalog • Python • PySpark Additional Knowledge • AI/ML Data Platforms • Enterprise Data Strategy • Data Management Frameworks Certifications (Preferred) • Microsoft Azure Certifications • Databricks Certifications • Informatica Certifications • TOGAF Certification • CDMP (Certified Data Management Professional) Frameworks • TOGAF • DAMA-DMBOK • Other Data and Enterprise Architecture Frameworks Show more Show less

Minimum 7+ years of experience as a Data Architect. Proven experience designing enterprise-scale data solutions. Experience working with cloud-based data platforms, preferably Microsoft Azure. Must-Have Technical Skills include Enterprise Data Architecture, Data Modeling (Conceptual, Logical & Physical), Data Governance, Metadata Management, Data Lineage, Data Quality Management, Master Data Management (MDM), Data Lake Architecture, Data Warehouse Architecture, Lakehouse Architecture, Data Integration, Strong SQL expertise. Hands-on experience with at least one of: Informatica IDMC, Microsoft Fabric with Purview, Databricks.

Design and implement enterprise-wide data architecture aligned with business and technology strategies. Develop and maintain conceptual, logical, and physical data models. Define and implement data governance frameworks, standards, and best practices. Establish metadata management, data lineage, and data quality processes. Architect scalable Data Lake, Data Warehouse, and Lakehouse solutions. Lead data integration and ETL/ELT architecture initiatives. Collaborate with business stakeholders, data engineers, analysts, and governance teams. Evaluate and recommend data platform technologies and architectural standards. Support Master Data Management (MDM) initiatives across the enterprise. Ensure data platforms meet security, compliance, scalability, and performance requirements.