*Remote Contract-to-Hire Opportunity*

Lighthouse Technology Services is partnering with our client to fill their Technical Lead – AWS Cloud & Python position! This is a 6+ month contract-to-hire and will be remote with quarterly travel to Charlotte, NC. This role will be a W2 employee of Lighthouse Technology Services.

Position Overview

We are seeking a seasoned Technical Lead with deep expertise in AWS Cloud and Python, backed by a strong foundation in data engineering. In this role, you will lead the design, development, and delivery of scalable data solutions that power enterprise platforms and analytics. You’ll collaborate closely with cross-functional teams including product managers, data architects, engineers, analysts, and business stakeholders to enable high-quality data integration, automation, and governance across the organization. The primary function of this role is focused on Master Data Management (MDM), with AWS-based data engineering experience.

What You'll Be Doing:

• Lead the design and implementation of scalable, cloud-native data solutions using AWS services such as Glue, Lambda, Redshift, S3, and Step Functions.
• Develop and optimize robust data pipelines for ingestion, transformation, orchestration, and delivery using Python and AWS tools.
• Work with product and business stakeholders to align technical solutions with strategic priorities and roadmap objectives.
• Provide technical leadership to data engineering teams, fostering best practices in coding, design, testing, and DevOps.
• Oversee Agile ceremonies such as sprint planning, backlog grooming, and delivery tracking using tools like Azure DevOps and Jira.
• Ensure operational excellence by monitoring data solutions, proactively addressing issues, and ensuring high availability and performance.
• Collaborate with data governance, analytics, and architecture teams to ensure data quality, security, and compliance.
• Leverage AI/ML and generative AI tools (e.g., ChatGPT, Copilot) to improve automation, development speed, and operational efficiency.
• Contribute to continuous improvement efforts by driving innovation in DevOps, workflow automation, and engineering processes.
• Apply MDM best practices to help maintain data consistency and integrity across domains such as customer, product, or vendor (optional).
• Implement monitoring, logging, and alerting solutions using AWS services such as CloudWatch, CloudTrail, and AWS Config.

What You'll Need to Have:

• Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
• 4+ years of experience in data engineering, data architecture, or similar roles.
• Proven experience leading technical teams and driving the end-to-end delivery of cloud-based data solutions.
• Proficiency in Python for building data workflows, APIs, and automation scripts.
• Deep knowledge of AWS services supporting data engineering and analytics (e.g., Glue, S3, Redshift, Lambda, Step Functions).
• Strong understanding of data modeling, ETL/ELT pipelines, data lakes, and integration strategies (batch, APIs, streaming).
• Experience working in Agile environments with tools like Azure DevOps and Jira.
• Excellent communication skills and a collaborative mindset for working with technical and non-technical stakeholders.

Preferred Skills:

• Experience with MDM tools like Informatica MDM, Reltio, or Stibo.
• AWS certification (e.g., Solutions Architect, Data Analytics).
• Experience with infrastructure-as-code tools like Terraform, AWS CDK, or CloudFormation.
• Familiarity with data privacy and compliance frameworks (e.g., GDPR, CCPA).
• Hands-on experience with Lakehouse architecture using AWS services (Glue, S3, Redshift, Athena, Lake Formation).
• Exposure to data cataloging, lineage, and governance tools.
• Experience integrating with platforms like ServiceNow.

Pay Range: $65–$70/hr

Questions about any of our jobs? Email us at recruiting@lhtservices.com

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