Data Engineer Lead

Guidehouse•San Antonio, TX

9d•Onsite

About The Position

Guidehouse is seeking a Data Engineer Lead to lead the design, development, and modernization of enterprise data platforms, analytics ecosystems, and cloud-native data solutions. This role serves as the technical leader for data engineering initiatives, providing architecture guidance, mentoring engineering teams, and driving the implementation of scalable, secure, and high-performing data solutions that support mission-critical business and analytical needs.

Requirements

U.S. Citizenship or Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.
SEVEN (7) or more years of experience in data engineering, software engineering, analytics engineering, or related technical disciplines.
Experience leading technical teams and complex data engineering initiatives.
Experience with Python, SQL, Spark/PySpark, and modern data engineering frameworks.
Experience designing, developing, and optimizing large-scale data pipelines and ETL/ELT solutions.
Experience architecting enterprise data platforms, data lakes, data warehouses, and cloud-native data solutions.
Significant hands-on experience with AWS, Azure, or multi-cloud environments.
Experience with Databricks, Snowflake, or similar distributed data processing platforms.
Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps practices.
Experience with containerization and orchestration technologies, including Docker and Kubernetes.

Nice To Haves

Experience supporting federal health, public health, healthcare, life sciences, or other highly regulated environments.
Strong understanding of data governance, metadata management, data quality, and data security principles.
Experience leading Agile development teams and collaborating across cross-functional technical organizations.
Strong analytical, problem-solving, and architectural decision-making skills.
Demonstrated ability to communicate technical concepts to both technical and non-technical audiences.
Experience developing technical documentation, architecture artifacts, and engineering standards.
Experience designing and implementing Databricks Lakehouse, Delta Lake, Fabric, Snowflake, or similar modern analytics architectures.
Experience with event-driven and real-time data architectures using Kafka, Event Hub, Kinesis, or similar technologies.
Experience implementing Infrastructure as Code using Terraform, CloudFormation, Bicep, or ARM templates.
Experience with data observability and monitoring platforms such as Splunk, Datadog, CloudWatch, Kibana, or Elasticsearch.
Experience supporting AI/ML platforms and operationalizing machine learning workflows.
AWS, Azure, Databricks, Snowflake, or Kubernetes certifications.
Experience leading large-scale data modernization or digital transformation programs.
Previous consulting experience with responsibility for client-facing technical leadership.
Experience contributing to business development activities, technical proposals, and solution architecture.

Responsibilities

Lead the design, development, and deployment of modern data platforms, pipelines, and analytics solutions across cloud and hybrid environments.
Define technical architecture, engineering standards, and best practices for data integration, storage, processing, and governance.
Architect and oversee the implementation of scalable ETL/ELT workflows, data lakehouses, and enterprise data platforms.
Lead data modernization and migration initiatives, including cloud adoption, platform transformation, and legacy system replacement efforts.
Provide technical leadership and mentorship to data engineers, fostering engineering excellence and professional development.
Collaborate with solution architects, data scientists, business analysts, and client stakeholders to define technical strategies and implementation roadmaps.
Design and optimize data models, data warehouses, and large-scale analytical environments to support reporting, operational analytics, and advanced analytics use cases.
Establish and enforce data quality, observability, security, reliability, and operational support processes.
Lead the adoption of DevSecOps and CI/CD practices to automate deployments and improve platform reliability.
Oversee performance tuning, troubleshooting, and optimization of data platforms and processing workloads.
Conduct technical reviews, architecture assessments, and code reviews to ensure delivery quality and adherence to best practices.
Support proposal development, solutioning, technical estimations, and business development activities.
Serve as a trusted technical advisor to project leadership and client stakeholders.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)