Job Family:Data Science & Analysis
Travel Required:Up to 10%
Clearance Required:Ability to Obtain Public Trust
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:- 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.
The annual salary range for this position is $92,000.00-$153,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
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 GuidehouseGuidehouse 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- or via email at 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 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 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.
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