Principal Data Architect

Job description

**JOB TITLE**Data Architect **GRADE**VP **DEPARTMENT**IT **LOCATION**HO(Bengaluru) **TYPE OF POSITION**Full-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