Principal Data Architect

Job description

JOB TITLEData Architect GRADEVP DEPARTMENTIT LOCATIONHO(Bengaluru) TYPE OF POSITIONFull-time ROLE PURPOSE & OBJECTIVE Leads data architecture strategy covering data governance, master data management, data lakes/warehouses, analytics platforms, and regulatory reporting. Responsible for defining data architecture standards, data quality frameworks, and ensuring DPDPA 2023 compliance. KEY DUTIES & RESPONSIBILITIES OF THE ROLE • Define data architecture strategy, data governance framework, data management policies • Design enterprise data models, MDM architecture for customer, product, account entities • Lead data lake/warehouse architecture for analytics, reporting, regulatory compliance • Establish data quality frameworks, data lineage, metadata management • Drive DPDPA 2023 compliance - data classification, consent management, minimization • Design real-time and batch data integration architectures (ETL/ELT) • Own business intelligence and analytics platform architecture (PowerBI, Tableau) • Define data security architecture - encryption, access controls, data masking • Collaborate with application and business architects on data requirements • Conduct architecture reviews. MINIMUM REQUIREMENTS OF KNOWLEDGE & SKILLS Educational Qualifications • B.Tech/M.Tech in Computer Science/Data Science or equivalent • Post-graduate qualification is preferred. Experience • 15-18 years in IT, 8-10 years in Data Architecture, 5+ years Banking/FS Certifications  TOGAF 9.2 or CDMP (Certified Data Management Professional)  Cloud data platform certifications (Azure Data Engineer, AWS Data Analytics)  Banking domain certifications preferred Functional Skills • Deep expertise in data modeling (conceptual, logical, physical), normalization • Strong knowledge of data platforms (SQL Server, Oracle, PostgreSQL, MongoDB) • Knowledge of Vector DB • Experience with data lakes (Azure Data Lake, AWS S3), warehouses (Snowflake) • Proficiency in ETL/ELT tools (Informatica, Talend, Azure Data Factory, AWS Glue) • Understanding of big data technologies (Hadoop, Spark, Kafka streaming) • Banking data domain knowledge (CBS data, regulatory reports - XBRL, SFT) • Data governance frameworks (DAMA DMBOK, data quality dimensions) • DPDPA 2023, GDPR compliance for data architecture Competencies • Initiative • Problem-solving ability. • Evaluate options & priorities. • Analytical thinking • Compliance and governance