AWS Data Lead​/Lead Consultant - Data Cloud Platform

AWS Data Lead / Lead Consultant Data on Cloud Platform

Location: Fort Mill, SC 29715 (Hybrid/Onsite)

Work Arrangement: Hybrid Candidates must be willing to work onsite. Candidates open to relocating to Fort Mill, SC will also be considered.

Contract Duration: 6 Months

Target

Start Date:

June 15, 2026

Interview Process: Virtual

Visa Requirement: Visa-independent candidates only

We are seeking an experienced AWS Data Lead to design, develop, and lead enterprise-scale cloud data integration and data warehousing initiatives. The ideal candidate will have deep expertise in AWS Glue, PySpark, DBT, and Apache Airflow
, along with a proven track record of building scalable ETL/ELT pipelines and cloud-native data platforms.

This role combines technical leadership with hands‑on engineering and requires close collaboration with cross‑functional teams to deliver reliable, high‑performance data solutions.

• Lead the architecture, design, and implementation of scalable ETL/ELT solutions using AWS Glue and Py Spark .
• Develop and automate end‑to‑end data pipelines that support enterprise data integration and analytics initiatives.
• Build and manage workflow orchestration using Apache Airflow to ensure reliable and efficient data processing.
• Design cloud‑native, event‑driven architectures leveraging AWS services such as:
  • AWS Glue
  • AWS Lambda
  • Amazon Event Bridge
  • Amazon S3
  • Amazon RDS (Aurora/PostgreSQL)
  • Amazon MSK and/or Amazon Kinesis
• Implement data transformation and modeling best practices using DBT and advanced SQL techniques.
• Work with relational and cloud data platforms including Snowflake
  , Aurora PostgreSQL
  , PostgreSQL
  , and Microsoft SQL Server
  .
• Build and maintain CI/CD pipelines and Infrastructure as Code (IaC) solutions using tools such as Terraform
  .
• Ensure high standards for data quality, reliability, scalability, and performance across all data pipelines.
• Provide technical leadership, mentor team members, and collaborate with business stakeholders to deliver strategic data solutions.
• Drive best practices in cloud engineering, Dev Ops, and data platform modernization.

• 10+ years of experience in data engineering, ETL development, or cloud data platform engineering.
• Extensive hands‑on experience with:
  • AWS Glue
  • Py Spark
  • DBT (Data Build Tool)
  • Apache Airflow
• Strong expertise in designing and implementing scalable ETL/ELT pipelines.
• Deep knowledge of AWS services, including Glue, Lambda, Event Bridge, S3, RDS (Aurora/PostgreSQL), and MSK/Kinesis.
• Proficiency in SQL, data modeling, and cloud‑native database technologies.
• Experience with CI/CD pipelines, Infrastructure as Code, and Terraform
  .
• Strong communication, leadership, and stakeholder management skills.

• Experience with Scala
  .
• Hands‑on experience with Snowflake
  .
• Experience implementing modern Dev Ops practices in cloud environments.
• Exposure to enterprise data warehouse modernization initiatives.

• AWS Certified Data Engineer
• AWS Certified Solutions Architect