Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
What You Will Do:
Serve as deputy to the Data Workstream Lead and lead day-to-day technical architecture decisions.
Define the secure Databricks lakehouse architecture, environments, workspaces, storage patterns, identity and access considerations, and Unity Catalog structure.
Define canonical HR data models, domain boundaries, curated layers, semantic approaches, and reusable data-product standards.
Establish DataOps, ingestion, transformation, orchestration, integration, API, and other consumption patterns.
Develop the migration architecture, source-to-target design standards, metadata and lineage approach, and data-contract framework.
Define architecture standards for security, privacy, quality, observability, performance, testing, deployment, and supportability.
Review detailed models, mappings, pipelines, interfaces, and data products for conformance with the target architecture.
Facilitate architecture decisions and communicate tradeoffs to technical teams, business stakeholders, and leadership.
Mentor architects and engineers and provide technical quality assurance across Prepare, Stabilize, and Operationalize.
What You Will Need:
Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
Bachelor’s degree in computer science, data engineering, information systems, engineering, or a related field.
EIGHT (8) or more years of experience in enterprise data architecture, data engineering, cloud platforms, or analytics modernization.
Experience architecting Databricks lakehouse solutions and Unity Catalog security and governance structures.
Strong knowledge of dimensional, relational, canonical, and data-product modeling patterns.
Experience with ingestion, API, integration, orchestration, metadata, lineage, data contracts, quality, and DataOps patterns.
Experience designing migration architectures and guiding source-to-target mapping and conversion decisions.
What Would Be Nice To Have:
Databricks Data Engineer Professional, Databricks Architect, or equivalent certification.
Ability to lead technical teams and communicate architecture decisions to executive and non-technical audiences.
Experience with HR, workforce, ERP, or financial data models.
Experience with Azure, AWS, or cloud networking and security patterns.
Experience supporting public-sector data modernization.
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
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
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
- Ability to obtain and maintain Federal or DHS Public Trust clearance
- Bachelor's degree in computer science, data engineering, information systems, engineering, or a related field
- Eight or more years of experience in enterprise data architecture, data engineering, cloud platforms, or analytics modernization
- Experience architecting Databricks lakehouse solutions and Unity Catalog security and governance structures
- Strong knowledge of dimensional, relational, canonical, and data-product modeling patterns
- Experience with ingestion, API, integration, orchestration, metadata, lineage, data contracts, quality, and DataOps patterns
- Experience designing migration architectures and guiding source-to-target mapping and conversion decisions
- Databricks Data Engineer Professional, Databricks Architect, or equivalent certification
- Ability to lead technical teams and communicate architecture decisions to executive and non-technical audiences
- Experience with HR, workforce, ERP, or financial data models
- Experience with Azure, AWS, or cloud networking and security patterns
- Experience supporting public-sector data modernization
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.
