Senior Data Platform Engineer – AWS & SQL - 406369

Client Overview Our client is a well-established, high-growth lifestyle organization seeking a Senior Data Platform Engineer – AWS & SQL to join its technology team. This is a hands-on opportunity to take ownership of enterprise data architecture and pipelines while working within a collaborative, high-performing environment.

Salary/Hourly Rate $145,000 - $165,000

Position Overview The Senior Data Platform Engineer – AWS & SQL will build, optimize, and evolve an enterprise data platform. This is a highly hands-on position requiring advanced SQL skills, strong data architecture experience, and the ability to independently design and build scalable data pipelines.

This position includes a technical SQL assessment, and advanced SQL proficiency is required to move forward in the interview process.

Responsibilities of the Senior Data Platform Engineer – AWS & SQL:

• Design, build, and maintain scalable enterprise data architecture and pipelines within AWS.
• Develop and optimize complex SQL queries across large datasets.
• Build and manage data models and schemas within enterprise data warehouses.
• Develop data solutions using AWS services including S3, Glue, Lambda, Athena, EMR, and Redshift.
• Monitor, troubleshoot, and optimize data pipelines and infrastructure.
• Implement data quality checks, validation rules, and monitoring processes.
• Design scalable data models using dimensional modeling and star schema concepts.
• Partner with Data Science, Analytics, Engineering, and business stakeholders.
• Improve data lineage, cataloging, governance, and technical documentation.
• Mentor junior and offshore team members and promote data engineering best practices.

Required Experience/Skills for the Senior Data Platform Engineer – AWS & SQL:

• 6+ years of professional Data Engineering experience.
• Expert-level SQL skills; advanced SQL assessment required.
• Strong hands-on experience building complex SQL queries and optimizing query performance.
• Strong hands-on AWS data engineering experience, particularly S3, Glue, Lambda, Athena, EMR, and Redshift.
• Proven experience designing and implementing data architecture and enterprise data warehouses.
• Strong experience building and maintaining scalable ETL/ELT pipelines.
• Experience with dimensional modeling, star schemas, and large datasets.
• Ability to independently own data solutions from architecture/design through deployment.
• Must be authorized to work in the U.S. without current or future sponsorship.

Preferred Experience/Skills for the Senior Data Platform Engineer – AWS & SQL:

• dbt Labs experience.
• Python proficiency.
• Experience with data governance, data quality, and observability.
• Experience mentoring junior and/or offshore engineers.
• Experience with structured, semi-structured, and unstructured data.
• Git and version-controlled development workflows.

Education Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field preferred.

Benefits

• Comprehensive benefits package, employee perks, and additional company benefits available upon eligibility.