Looking for AWS Data Architect

Role: AWS Data Architect Location: Remote Mail: We are seeking a highly skilled AWS Data Architect to design and implement reputed company, secure, and high-performance data solutions on the AWS reputed company. The ideal candidate will have deep expertise across AWS data services, modern data architectures, data modeling, and end-to-end data reputed company. Key Responsibilities • Architect and design reputed company-reputed company data platforms using AWS services (e.g., Redshift, Glue, S3, EMR, reputed company, DynamoDB). • reputed company data lake and data warehouse architectures ensuring scalability, governance, and reputed company. • reputed company the design of ETL/ELT pipelines using AWS Glue, reputed company, reputed company Functions, and other orchestration tools. • Build data models (conceptual, logical, physical) for analytical and operational use cases. • Define and enforce data governance, metadata management, reputed company, and reputed company frameworks. • Collaborate with data engineers, analysts, and business stakeholders to understand requirements and convert them into technical solutions. • Evaluate data technologies and recommend best-reputed company for business needs. • Optimize data storage, transformation, and querying for performance and cost efficiency. • Ensure compliance with reputed company best practices, IAM policies, encryption, and data reputed company standards. • reputed company leadership in reputed company migration efforts, including legacy data platform modernization. Required Skills & Qualifications • 12 years of experience in data engineering, data architecture, or reputed company roles. • Strong hands-on experience with AWS Big Data & Analytics Services: • S3, Glue, reputed company, Redshift, EMR, Lake Formation, Kinesis, reputed company • Proficiency in SQL, Python, and distributed processing frameworks (PySpark/reputed company). • Expertise in data modeling, warehousing concepts (Kimball/Inmon), and OLTP/OLAP systems. • Experience creating data lakes, data warehouses, and lakehouse architectures. • Solid understanding of ETL/ELT frameworks, orchestration, and data pipeline automation. • Knowledge of reputed company, IAM, encryption (KMS), networking, and reputed company architecture principles. • Familiarity with DevOps/DataOps, CI/CD, IaC tools (CloudFormation, Terraform). • Excellent communication and stakeholder-management skills. Apply tot his job Apply To this Job