Data & Analytics Architecture

As a Data Architect, your role involves designing and defining enterprise data architecture and standards. You will be responsible for developing conceptual, logical, and physical data models. Your key responsibilities will include: - Architecting scalable data warehouse, data lake, and lakehouse solutions - Designing ETL/ELT pipelines and data integration frameworks - Defining data flow, storage, security, and governance strategies - Establishing data quality, metadata management, and data lineage processes - Supporting analytics, reporting, and AI/ML data platform initiatives - Optimizing data platform performance, scalability, and reliability - Collaborating with business, engineering, and analytics teams - Providing technical leadership and guidance on data architecture best practices - Ensuring compliance with data security and privacy requirements Qualifications required for this role include: - 10-18 years of experience in Data Engineering, Analytics, and Data Architecture - 5-8 years of experience in Data Architecture roles - Strong experience in enterprise data modeling and architecture design - Hands-on experience with AWS cloud data platforms - Experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery - Strong SQL and Python development skills - Experience with data warehouse, data lake, and lakehouse architectures - Knowledge of ETL/ELT, data integration, and data governance frameworks - Experience with metadata management, data quality, and data lineage solutions - Familiarity with Collibra, Alation, Microsoft Purview, or Apache Atlas is an advantage - Scala experience is a plus - Strong leadership, communication, and stakeholder management skills Your education requirement for this role is Any Post Graduation or Any Graduation. As a Data Architect, your role involves designing and defining enterprise data architecture and standards. You will be responsible for developing conceptual, logical, and physical data models. Your key responsibilities will include: - Architecting scalable data warehouse, data lake, and lakehouse solutions - Designing ETL/ELT pipelines and data integration frameworks - Defining data flow, storage, security, and governance strategies - Establishing data quality, metadata management, and data lineage processes - Supporting analytics, reporting, and AI/ML data platform initiatives - Optimizing data platform performance, scalability, and reliability - Collaborating with business, engineering, and analytics teams - Providing technical leadership and guidance on data architecture best practices - Ensuring compliance with data security and privacy requirements Qualifications required for this role include: - 10-18 years of experience in Data Engineering, Analytics, and Data Architecture - 5-8 years of experience in Data Architecture roles - Strong experience in enterprise data modeling and architecture design - Hands-on experience with AWS cloud data platforms - Experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery - Strong SQL and Python development skills - Experience with data warehouse, data lake, and lakehouse architectures - Knowledge of ETL/ELT, data integration, and data governance frameworks - Experience with metadata management, data quality, and data lineage solutions - Familiarity with Collibra, Alation, Microsoft Purview, or Apache Atlas is an advantage - Scala experience is a plus - Strong leadership, communication, and stakeholder management skills Your education requirement for this role is Any Post Graduation or Any Graduation.