01Overview
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. .
