AWS Data Engineer Lead

We are seeking an experienced AWS Data Engineer Lead to design, build, and lead scalable data platforms and pipelines in the cloud. The ideal candidate will have strong hands-on expertise in AWS services, data engineering best practices, and the ability to lead technical teams while collaborating closely with business and analytics stakeholders.

Lead the design and development of scalable, secure, and high-performance data pipelines on AWS

Architect end-to-end data solutions using AWS services such as S3, Glue, Redshift, Athena, Lambda, EMR, and Step Functions

Build and optimize ETL/ELT pipelines using Python, PySpark, and SQL

Lead and mentor junior data engineers; conduct code reviews and enforce best practices

Collaborate with product, analytics, and business teams to translate requirements into technical solutions

Ensure data quality, governance, security, and compliance standards are met

Optimize performance, cost, and reliability of AWS data platforms

Support CI/CD, monitoring, and troubleshooting of data workflows

Drive adoption of modern data engineering tools and frameworks.

Bachelor’s degree in Computer Science, Engineering, or a related field

10+ years of experience in data engineering, with 4+ years on AWS

Strong hands-on experience with AWS data services (S3, Glue, Redshift, EMR, Athena)

Proficiency in Python, PySpark, and SQL

Experience with orchestration tools such as Airflow or AWS Step Functions

Strong leadership and stakeholder communication skills.

Experience with streaming technologies (Kafka, Kinesis)

Experience with infrastructure as code (Terraform, CloudFormation)

Exposure to Snowflake or Databricks on AWS

AWS certifications (AWS Data Analytics, Solutions Architect)

Experience working in Agile/Scrum environments