Lead Data Engineer/Architect

Job Title: AWS Tech Lead Location: Fort Mill, SC (Hybrid/Onsite as required) Job Summar yWe 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 Responsibiliti • esLead the design, development, and deployment of large-scale data pipelines and solutions on AW • S.Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and performance optimizatio • n.Architect data lake and data warehouse solutions leveraging AWS Glue, Redshift, S3, Athena, EMR, and Lambd • a.Drive development of ETL/ELT processes using PySpark, Python, and SQ • L.Implement and enforce data governance, quality checks, and security standards across the platfor • m.Collaborate with business analysts, data scientists, and product teams to translate business requirements into scalable solution • s.Optimize cost and performance of AWS-based data workload • s.Troubleshoot production issues and ensure high availability of data pipeline • s.Participate in sprint planning, backlog refinement, and Agile ceremonies as a technical lea d. Required Qualificati • ons13+ years of experience in Data Engineering, with at least 4+ years in a technical leadership ro • le.Strong expertise in AWS data services: Glue, S3, Redshift, Athena, Lambda, Step Functions, E • MR.Proficiency in PySpark, Python, and SQL for large-scale data processi • ng.Solid experience in data modeling (star, snowflake, dimensional modeling) and data lake/warehouse architectur • es.Proven track record in leading and mentoring data engineering tea • ms.Strong understanding of Agile methodologies and CI/CD practices for data pipelin es. Preferred Qualificat • ionsExperience in BFSI / Wealth Management dom • ain.AWS Certification (Data Analytics Specialty, Solutions Architect, or Big Da • ta).Familiarity with containerization (Docker, Kubernetes) and orchestration framewo rks. Educ • ationBachelor’s degree in Computer Science, Information Technology, Engineering, or related f • ield.Master’s degree prefe rred.