Jobs → Data & Analytics → AWS Data Architect

About the Role We are seeking an experienced AWS Data Architect to design and define enterprise-level data architecture across AWS data platforms. This role focuses on ensuring scalability, security, performance, and alignment with business strategy. Key Responsibilities • Design and develop robust ETL/ELT pipelines (batch and real-time) ensuring high data quality, reliability, and performance optimization • Integrate and synchronize data between Salesforce and AWS data platforms • Define and implement enterprise data models including dimensional modeling to support analytics and reporting needs • Establish BI architecture standards using Tableau, including semantic layer design, dashboard governance, and security • Translate complex business requirements into scalable technical architecture and actionable data solutions • Provide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning • Define and enforce data governance, security frameworks, and compliance standards • Guide teams in implementing CI/CD pipelines and DevOps best practices for data platforms • Review solution designs and code to ensure adherence to architectural standards • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions • Drive modernization initiatives including migration from legacy systems to AWS cloud environments • Mentor and technically guide data engineers and BI developers • Continuously evaluate emerging technologies and AWS innovations to recommend improvements Requirements • 13-20 years of experience in data architecture • Strong experience with AWS data services including S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Formation • Expertise in designing and implementing data lakes/lakehouse solutions • Experience with ETL/ELT pipeline development and optimization • Knowledge of enterprise data modeling and dimensional modeling • Experience with BI tools, particularly Tableau • Strong SQL and Python/PySpark skills • Understanding of data governance, security frameworks, and compliance standards • Experience with CI/CD pipelines and Infrastructure as Code • Leadership experience mentoring technical teams • Ability to translate business requirements into technical architecture