AWS Data Lead

Job Title: AWS Tech Lead Location: Fort Mill, SC (Hybrid/Onsite as required) Job Summary We are looking for a highly experienced Data Engineer – AWS Tech Lead to design and lead scalable cloud-based data solutions. This role will combine hands-on engineering with leadership responsibilities, guiding a team of data engineers while collaborating with architects, product owners, and business stakeholders. The ideal candidate will have deep expertise in AWS data services, ETL/ELT pipelines, and big data frameworks, with proven experience in leading technical delivery. Key Responsibilities • Lead the design, development, and deployment of large-scale data pipelines and solutions on AWS. • Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and performance optimization. • Architect data lake and data warehouse solutions leveraging AWS Glue, Redshift, S3, Athena, EMR, and Lambda. • Drive development of ETL/ELT processes using PySpark, Python, and SQL. • Implement and enforce data governance, quality checks, and security standards across the platform. • Collaborate with business analysts, data scientists, and product teams to translate business requirements into scalable solutions. • Optimize cost and performance of AWS-based data workloads. • Troubleshoot production issues and ensure high availability of data pipelines. • Participate in sprint planning, backlog refinement, and Agile ceremonies as a technical lead. Required Qualifications • 13+ years of experience in Data Engineering, with at least 4+ years in a technical leadership role. • Strong expertise in AWS data services: Glue, S3, Redshift, Athena, Lambda, Step Functions, EMR. • Proficiency in PySpark, Python, and SQL for large-scale data processing. • Solid experience in data modeling (star, snowflake, dimensional modeling) and data lake/warehouse architectures. • Proven track record in leading and mentoring data engineering teams. • Strong understanding of Agile methodologies and CI/CD practices for data pipelines. Preferred Qualifications • Experience in BFSI / Wealth Management domain. • AWS Certification (Data Analytics Specialty, Solutions Architect, or Big Data). • Familiarity with containerization (Docker, Kubernetes) and orchestration frameworks.