Data Architect_C2H_Navi Mumbai,

Position: Data Architect _C2H_Immedite Only

Location: Navi Mumbai

End Client: Bank

Mandatory Qualifications

• 12+ years of overall IT experience
• 5+ years of BFSI (Banking, Financial Services & Insurance) domain experience
• B.Tech and M.Tech degree (Mandatory)
• Strong experience in Data Governance, Data Modeling, Data Warehousing, Data Lakes, ETL/ELT, Data Integration, MDM, Metadata Management, and Cloud Data Platforms.

Roles & Responsibilities - Data Architect

• Define and establish enterprise data architecture standards, frameworks, and governance policies across the organization.
• Design, develop, and enhance enterprise data platforms, including Data Warehouses, Data Lakes, Data Fabric, and Data Virtualization solutions.
• Architect scalable, secure, and high-performance data solutions aligned with business and technology objectives.
• Evaluate current-state data architecture and recommend modernization strategies for ETL, ELT, API, ESB, and data integration platforms.
• Develop enterprise data models, architecture roadmaps, target-state architectures, and transformation strategies.
• Establish and enforce data governance, metadata management, data lineage, and master data management (MDM) practices.
• Define and implement data quality, data security, privacy, and access control standards to ensure regulatory compliance.
• Lead the design and implementation of data integration solutions across multiple enterprise systems and third-party platforms.
• Plan, manage, and execute data migration initiatives from legacy systems to modern data platforms.
• Provide architectural oversight for databases, data warehouses, data lakes, and cloud-based data ecosystems.
• Collaborate with business stakeholders, data engineers, analytics teams, and solution architects to translate business requirements into scalable data solutions.
• Identify and mitigate data quality, consistency, and integrity issues across the data landscape.
• Participate in Architecture Review Boards (ARB) and provide technical leadership for data and analytics initiatives.
• Evaluate emerging technologies, tools, and COTS products and recommend adoption strategies to improve data solution delivery.
• Mentor engineering teams and provide technical guidance on data architecture best practices, governance frameworks, and solution design.
• Ensure enterprise data platforms support reporting, analytics, AI/ML, and business intelligence requirements.
• Drive continuous improvement initiatives for data management processes, architecture standards, and operational efficiencies.