Data Architect - ETL/Data Warehousing

Job Description : We are looking for an experienced Data Architect / Data Solution Architect with strong expertise in designing enterprise-scale data platforms and modern banking data ecosystems.The ideal candidate should possess deep understanding of Banking & Financial Services (BFS) domain along with strong expertise in enterprise data architecture, data modeling, governance frameworks, integration architectures, and cloud-based data platforms.The role requires strong architecture consulting capabilities, stakeholder management skills, and hands-on experience in designing scalable Enterprise Data Warehouses (EDW), Data Lakes, and Lakehouse platforms for large-scale banking transformation initiatives.Key Responsibilities : - Design and architect enterprise-scale data platforms including Enterprise Data Warehouse (EDW), Data Lake, and Lakehouse ecosystems.- Lead data architecture strategy and solution design for Banking & Financial Services transformation initiatives.- Develop conceptual, logical, and physical data models aligned with enterprise business and regulatory requirements.- Design scalable Data Integration and ETL/ELT architectures across structured and unstructured data environments.- Drive implementation of Data Governance, Data Quality, Metadata Management, Data Lineage, and enterprise data standards.- Collaborate with business stakeholders, technology teams, data engineering teams, and leadership to define enterprise data strategies and transformation roadmaps.- Support large-scale banking transformation programs including core banking modernization, regulatory reporting, and enterprise analytics initiatives.- Define enterprise architecture standards, integration frameworks, and best practices for scalable data ecosystems.- Ensure data architecture solutions align with security, compliance, scalability, and operational requirements.- Drive architecture governance, technical reviews, design documentation, and stakeholder communication across projects.- Support modernization initiatives involving cloud data platforms and modern analytics architectures.- Provide technical leadership and mentoring to data engineering and architecture teams.Mandatory Skills & Experience : - 12 to 15+ years of experience in Data Architecture or Data Solution Architecture roles.- Strong Banking & Financial Services (BFS) domain experience is mandatory.- Proven experience designing enterprise data platforms including EDW, Data Lakes, and Lakehouse architectures.- Strong expertise in conceptual, logical, and physical Data Modeling.- Strong understanding of Data Integration and ETL/ELT architecture frameworks.- Hands-on experience with Data Governance, Data Quality, Data Lineage, and Metadata Management.- Excellent stakeholder communication, architecture consulting, and technical documentation skills.Good to Have Skills : - Experience with cloud data platforms such as Azure, AWS, or GCP.- Exposure to Databricks, Snowflake, ADLS, Hadoop ecosystems, or related modern data platforms.- Experience supporting core banking transformation initiatives or large regulatory programs.- Familiarity with Banking Data Domains including Finance, Risk, Treasury, Compliance, and Operations.Preferred Candidate Profile : - Strong analytical and problem-solving capabilities.- Ability to work in large-scale enterprise and transformation-driven environments.- Strong understanding of modern data architecture and cloud modernization strategies.- Excellent leadership, communication, and stakeholder management skills. (ref:hirist.tech)