Job description

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 Architect to design, implement, and govern enterprise data architectures that support analytics, reporting, and AI use cases. This role provides architectural leadership across data modeling, data engineering, and data governance, and works closely with cloud architects, engineers, and business stakeholders. Responsibilities include, but are not limited to: Design and maintain logical and physical data models supporting enterprise analytics and AI initiatives. Define and oversee enterprise data architecture standards, patterns, and best practices. Lead solution architecture for data ingestion, transformation, storage, and consumption layers. Provide technical leadership across AWS and Snowflake data environments. Support data governance initiatives including metadata management, data quality, lineage, and stewardship. Translate business and regulatory requirements into scalable data architecture solutions. Partner with delivery teams during implementation to ensure architectural alignment and quality. What You Will Need US Citizenship and must be able to OBTAIN and MAINTAIN a Federal or DHS PUBLIC TRUST Bachelor’s degree TEN (10) or more years of experience in data architecture, data engineering, or related technical roles. Experience designing data architectures in AWS and Snowflake environments. Experience with data modeling (logical and physical) and enterprise data design. Experience supporting data governance and stakeholder engagement activities. Ability to work in a hybrid environment in the DC area. What Would Be Nice to Have Certifications in Snowflake, AWS, or data architecture disciplines. Experience supporting enterprise analytics or AI platforms. Prior experience supporting financial services or regulatory organizations. 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 RecruitingAccommodation guidehouse.com . 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 guidehouse myworkday.com . 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 recruiting guidehouse.com . 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.

Requirements

Must-haves

Data Science & Analysis
Ability to Obtain Public Trust
Responsibilities include, but are not limited to:
Design and maintain logical and physical data models supporting enterprise analytics and AI initiatives.
Define and oversee enterprise data architecture standards, patterns, and best practices.
Lead solution architecture for data ingestion, transformation, storage, and consumption layers.
Provide technical leadership across AWS and Snowflake data environments.
Support data governance initiatives including metadata management, data quality, lineage, and stewardship.
Translate business and regulatory requirements into scalable data architecture solutions.
Partner with delivery teams during implementation to ensure architectural alignment and quality.
What You Will Need
US Citizenship and must be able to OBTAIN and MAINTAIN a Federal or DHS PUBLIC TRUST
Bachelor’s degree
TEN (10) or more years of experience in data architecture, data engineering, or related technical roles.
Experience designing data architectures in AWS and Snowflake environments.
Experience with data modeling (logical and physical) and enterprise data design.
Experience supporting data governance and stakeholder engagement activities.
Ability to work in a hybrid environment in the DC area.
Certifications in Snowflake, AWS, or data architecture disciplines.
Experience supporting enterprise analytics or AI platforms.
Prior experience supporting financial services or regulatory organizations.
Personal and Family Sick Time & Company Paid Holidays

Nice-to-haves

What Would Be Nice to Have
Position may be eligible for a discretionary variable incentive bonus

Application prep

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Keywords to mirror

aiaws

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave