Snowflake Data Warehouse Architect Lead

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other Required:
None

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:
Cloud Data Architecture, Data Warehousing (DW), Enterprise Data, ETL Development, Modern Data Integration
Certifications:
None
Experience:
10 + years of related experience
ship Required:
No

Job Description:

Snowflake Data Warehouse Architect Lead

Own the opportunity as a Snowflake Data Warehouse Architect and help ensure the mission is never interrupted. At GDIT, we deliver clarity with our cloud solutions and provide meaningful work. Your work will be an important part of transforming our clients for the modern age and help them face any obstacle.

We are seeking a highly skilled Snowflake Data Warehouse Architect Lead to guide the design, architecture, and technical strategy for our enterprise cloud data environment. This is a senior-level, customer-facing, high-visibility role central to our modernization efforts. You will shape the architecture supporting complex data ecosystems, provide leadership across engineering workstreams, and ensure the platform evolves in a scalable, secure, and high-performing direction.

If you excel at solving complex architectural challenges, driving consistency across teams, and influencing data strategy at scale, this role offers the opportunity to make a significant impact.

HOW A CLOUD DATA WAREHOUSE ARCHITECT WILL MAKE AN IMPACT:

As the Snowflake Data Warehouse Architect Lead, you will:

• Architect enterprise-level Snowflake data warehouse solutions, including conceptual, logical, and physical models that support analytics, operational reporting, modernization and AI initiatives
• Provide technical leadership across multiple teams, ensuring architectural alignment and model-driven engineering throughout ETL/ELT pipelines
• Define data architecture patterns, standards, and best practices to ensure consistency, scalability, and performance across the platform
• Lead design decisions related to schema architecture, data distribution, performance optimization, security, governance, and cost management in Snowflake
• Collaborate with Program Management, Agile PMO, ETL development, DevSecOps, DBA, user support, and analytics teams to guide solution design and ensure alignment with enterprise and customer goals
• Oversee ingestion, transformation, and integration of complex healthcare datasets, ensuring data quality and metadata completeness
• Work hands-on in Snowflake, including DDL design, warehouse configuration, performance tuning, and workload optimization
• Leverage and advise on usage of related AWS data services (e.g., Lambda, S3, Glue, Step Functions, IAM) to support end-to-end data pipelines
• Guide automation approaches for data integration, testing, metadata capture, lineage, and platform operations
• Assess and troubleshoot high-complexity issues, providing direction and technical resolutions across teams
• Support roadmap planning by providing architectural insight, identifying technical risks, and shaping long-term data strategy
• Mentor and develop data engineers, administrators and modelers, setting the technical tone and raising capability across the program
• May serve as a technical lead and/or manager over multiple cloud data engineers / teams

WHAT YOU'LL NEED TO SUCCEED:

Required Education: BS/MS degree with 10+ years of general experience in information systems and 8+ years of specialized data warehouse related experience

Required Experience:

6+ years of experience in cloud data architecture, data warehousing, or enterprise data modeling

• 6 + years Snowflake experience required.
• 2+ years direct CMS experience required

Required Technical Skills:

• Extensive hands-on Snowflake experience, with strong skills in implementing logical and physical models, and leveraging Snowflake tools, including Cortex AI.
• Proven leadership in large-scale cloud data environments, preferably within AWS
• Deep experience with ETL/ELT frameworks and model-driven engineering approaches
• Proficiency in SQL, data transformation design, and performance optimization
• Experience working with cloud-native architectures, modern data integration patterns and AI solution development
• Strong expertise in automation and scripting (e.g., Bash, PowerShell, Python, PySpark)

Required Skills and Abilities:

• Excellent communication skills with demonstrated experience delivering presentations to diverse audiences at various levels of an organization
• Experience managing, mentoring, and developing engineering staff

Preferred Skills and Experience:

• Strong proficiency with SQL and data transformation techniques
• Familiarity with Agile / Scrum delivery environments

Preferred Certification:

• Snowflake SnowPro Advanced: Architect
• Certified Data Management Professional (CDMP)
• AWS Certified Data Analytics - Specialty

Clearance: Ability to pass CMS background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five years in order to obtain a Public Trust.

Location: Remote

What GDIT can offer you:

• Full-flex work week.
• 401K with company match.
• Customizable health benefits packages.
• Collaborative teams of highly motivated critical thinkers and innovators.
• Internal mobility team dedicated to helping you own your career.
• Rewards program for high-performing employees.

#GDITFedHealthJobs

The likely salary range for this position is $170,000 - $230,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Remote

Work Location:
Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

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