AWS Data Architect

Job Title: AWS Data Architect Location: Remote Job Type: Contract Rate:$90/hr C2C Key Responsibilities • Design and implement scalable, secure, and high-performance data architectures on AWS. • Architect enterprise data lakes, data warehouses, and modern data platforms. • Design and optimize ETL/ELT pipelines using AWS Glue and PySpark. • Analyze source systems and understand end-to-end data flows across multiple applications. • Create conceptual, logical, and physical data models that support business requirements. • Perform data profiling, data discovery, metadata management, and data inventory activities. • Define data lineage and dependency mapping across enterprise systems. • Establish and enforce data governance standards, including data cataloging, access control, metadata management, and regulatory compliance. • Collaborate with business stakeholders to gather requirements and translate them into scalable technical solutions. • Lead architecture discussions, conduct technical design reviews, and provide best-practice guidance. • Partner with engineering teams to ensure reliable, scalable, and maintainable data solutions. • Drive cloud migration and data modernization initiatives on AWS. • Ensure solutions meet security, compliance, and enterprise architecture standards. Required Qualifications • 15+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platforms. • Extensive experience designing enterprise-scale data solutions on AWS. • Strong hands-on experience with AWS Glue, PySpark, and large-scale ETL/ELT pipelines. • Experience implementing modern data lake architectures using Apache Iceberg. • Strong experience with Amazon Aurora and relational database design. • Expertise in data modeling (conceptual, logical, and physical). • Strong understanding of data governance principles, metadata management, data cataloging, and data lineage. • Experience performing source system analysis, data profiling, and data discovery. • Advanced SQL and Python programming skills. • Experience designing highly scalable, fault-tolerant cloud architectures. • Excellent problem-solving and analytical skills. Required Technical Skills AWS Services • AWS Glue • Amazon Aurora • Amazon S3 • AWS IAM • AWS Lake Formation (preferred) • AWS Athena • Amazon Redshift (preferred) • AWS EMR (preferred) Data Engineering • PySpark • Apache Spark • ETL/ELT Development • Data Lake Architecture • Batch Processing • Data Pipeline Design Modern Data Technologies • Apache Iceberg • Data Lakehouse Architecture • Metadata Management • Data Catalog • Data Discovery • Data Profiling • Data Inventory Data Architecture • Enterprise Data Architecture • Data Modeling • Data Lineage • Dependency Mapping • Source System Analysis Data Governance • Data Governance Frameworks • Data Quality • Access Control • Security • Compliance • Metadata Governance • Information Lifecycle Management Programming • Python • SQL Preferred Qualifications • Experience with Lake Formation, Athena, and Redshift. • Experience with Infrastructure as Code (Terraform or CloudFormation). • Experience implementing enterprise data governance frameworks. • Knowledge of CI/CD pipelines for cloud data platforms. • AWS Certification (Solutions Architect, Data Analytics, or equivalent) is a plus.