Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
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.
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.
Role is contingent upon contract award
What You Will Need:
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.
What Would Be Nice To Have:
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.
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
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.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Skills Required
- U.S. Citizenship or Green Card and ability to obtain and maintain a Federal or DHS Public Trust
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or 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
- Experience with SQL
- Experience with Spark/PySpark
- Experience with modern data engineering frameworks and building ETL/ELT pipelines
- 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/DevSecOps practices
- Experience with containerization and orchestration technologies, including Docker and Kubernetes
- Experience with Infrastructure as Code (Terraform, CloudFormation, Bicep, or ARM Templates)
- Experience with event-driven and real-time data architectures (Kafka, Event Hub, Kinesis)
- Experience with data observability and monitoring platforms (Splunk, Datadog, CloudWatch, Kibana, Elasticsearch)
- Experience supporting regulated environments (federal health, public health, healthcare, life sciences)
- Experience supporting AI/ML platforms and operationalizing ML workflows
- Relevant certifications (AWS, Azure, Databricks, Snowflake, Kubernetes)
- Experience leading Agile development teams and contributing to proposals/solution architecture
Guidehouse Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.
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Healthcare Strength — Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
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Parental & Family Support — Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.
Guidehouse Insights
What We Do
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.
