Sector - Communication RTH - Y Data Architect Total exp: 15 Years Relevant Yrs of Experience : 12+ Years Mandatory skills : • AWS Expertise: Redshift, RDS, DynamoDB, Aurora, S3, Glue, Athena, EMR, Kinesis, IAM, Lambda • Data Architecture: Data lake/warehouse design, dimensional modeling, metadata/cataloging, partitioning & indexing • Data Integration: ETL/ELT pipelines, AWS Glue, Data Pipeline, DMS, Kinesis/Kafka • Big Data Processing: Spark, Hadoop, Hive, Presto, Python/Scala • Programming & Querying: Advanced SQL, Python scripting (boto3), API integration • Optimization: Performance tuning, cost management, lifecycle policies Good to have skills : • Security & Compliance: Encryption, VPC networking, HIPAA/SOC2/GDPR awareness • Soft Skills: Communication, problem-solving, leadership, documentation •Lead, define and maintain the data Lake house and enterprise data warehouse, including data models, metadata standards, and integration patterns. •Collaborate with engineering, analytics, and business teams to ensure scalable and secure data solutions •Architect, implement, and enhance scalable data pipelines and ETL workflows using AWS Glue / AWS EMR. • Knowledge around AWS Lakeformation and AWS Redshift Identity Center to secure data lake and warehouse •Strong knowledge around dimensional data modeling to design and build data warehouse by Integrating various sources •Develop and manage data lakes on Amazon S3 and data warehouses on Amazon Redshift to support analytics and reporting needs •Integrate data from third-party APIs and internal systems into cloud-based data platforms •Uphold high standards of data quality, integrity, and security across all data platforms and pipelines •Proactively monitor, debug, and optimize data workflows to ensure performance and reliability •Ensure seamless integration of both real-time and batch data  processing • Evaluate and recommend data technologies and tools to support business objectives • Contribute to the development and enforcement of data governance policies, including metadata management and data cataloging best practices • Guide data migration, transformation, and modernization initiatives - IBMFG2JP00003058