Senior Technical Lead – Data Engineering

Job Family:

Software Development & Support (Digital)

Travel Required:

None

Clearance Required:

Ability to Obtain Public Trust

Overview

We are seeking a highly skilled Senior Technical Lead with proven expertise in architecting, building, and scaling data lakes and data fabric solutions on AWS. This role requires not only strong technical depth but also the ability to lead, mentor, and inspire a team of data engineers. You will be responsible for driving the strategy, design, and implementation of our modern cloud-native data platforms to enable advanced analytics, AI/ML, and business intelligence across the organization.

This role is a hybrid position. Work will mostly be completed remotely, except when required to report to a Guidehouse or client site office for meetings within the DMV.

What You Will Do:

• Technical Leadership

  • Define and drive the technical vision and roadmap for AWS-based data architectures.

  • Oversee solution design, data modeling, integration, and governance practices.

  • Evaluate and recommend AWS-native tools and best practices for scalable, secure, and cost-efficient data platforms.

• Team Leadership & Mentorship

  • Lead and mentor a team of data engineers, fostering growth and technical excellence.

  • Establish coding standards, design patterns, and CI/CD practices for data pipelines.

  • Collaborate with cross-functional stakeholders including data scientists, analysts, and product teams.

• Architecture & Development

  • Architect and implement scalable ingestion, transformation, and storage solutions using AWS data services.

  • Enable data discovery, lineage, and governance with AWS Glue Data Catalog and other metadata management tools.

  • Drive automation, monitoring, and standardization across the AWS data platform.

• Strategic Impact

  • Partner with business leaders to align AWS data platform capabilities with organizational priorities.

  • Ensure compliance with security, privacy, and regulatory requirements using AWS security and governance services.

  • Champion a data-driven culture and advocate for enterprise-wide adoption of modern AWS data practices.

What You Will Need:

• Education & Experience

  • Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.

  • 15+ years of experience in data engineering, with at least 3+ years in a technical leadership role.

• Technical Skills

  • Deep expertise in AWS-based data lake architectures (Amazon S3, Lake Formation, Glue, Redshift, EMR, Athena).

  • Strong knowledge of data fabric concepts (data virtualization, metadata-driven orchestration, semantic layers).

  • Proficiency in AWS streaming & batch data services (Kinesis, MSK, Glue ETL, EMR/Spark).

  • Experience with modern AWS analytics and AI/ML integration (SageMaker, QuickSight, Redshift Spectrum).

  • Strong programming skills (Python, Scala, Java, SQL).

  • Knowledge of data governance, lineage, and cataloging using AWS Glue Data Catalog and third-party tools (Collibra, Alation, DataHub).

  • Hands-on experience with CI/CD pipelines and modern DevOps practices, including Git, Terraform, Jenkins, AWS CodePipeline, and Docker.

  • Strong knowledge of database systems (Oracle, Aurora, PostgreSQL), data modeling techniques, and SQL proficiency.

• Leadership Skills

  • Proven experience leading and mentoring engineering teams.

  • Excellent communication and stakeholder management abilities.

  • Strong problem-solving, architectural thinking, and decision-making skills.

What Would Be Nice To Have:

• AWS Certified Data Engineer - Associate

• AWS Certified DevOps Engineer – Professional (or equivalent certification).

• Prior experience in public sector or grants management systems (a plus).

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Parental Leave