AWS Tech Lead

Job Title: AWS Tech Lead Location: Fort Mill, SC or Austin, TX (Hybrid) Full time 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.   Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field. Master’s degree preferred.