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Tech Lead, Data Engineer, Cloud Computing

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: The Value Maximizer
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Columbia

Overview

Job Summary:

We are looking for a highly experienced Tech Lead - 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.

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
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