Req ID: RQ185325

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: None

Job Family: Data Analysis

Skills:

Data Architecture,Data Engineering,Healthcare Analytics

Experience:

10 + years of related experience

Job Description:

Data Architect – Snowflake

We are GDIT. We take pride in providing our clients with the data they need to make important decisions that impact the world around us.

You make GDIT your place by delivering insights to help our clients make impactful changes real. By owning your opportunity at GDIT, you’ll become a critical part in how we successfully solve our clients’ biggest challenges. Our work depends on a Data Analyst Sr Advisor joining our team to remotely support Medicaid.

At GDIT, our people are at the center of everything we do. As a Data Architect – Snowflake, a typical day will include:

• Architect, design, and implement robust data solutions using Snowflake, supporting Medicaid compliance and population health analytics.

• Develop and maintain data models, architectures, and frameworks that align with both business and regulatory requirements, with a focus on scalability and performance.

• Collaborate with business leaders, data engineers, and analysts to translate reporting and analytics needs into a well-architected data ecosystem.

• Ensure data governance, security, and compliance with healthcare regulations (including HIPAA), with a focus on safeguarding sensitive Medicaid data.

• Lead the design of ETL/ELT processes that support efficient data pipelines for ingestion, processing, and transformation in Snowflake.

• Optimize data storage and retrieval processes, ensuring fast query performance for complex Medicaid reporting and analytics use cases.

• Provide technical leadership and guidance to teams, including code reviews, architectural best practices, and cloud-native design principles.

• Continuously evaluate and adopt new technologies that enhance data architecture, performance, and security in a Snowflake environment.

• Documenting and communicating reporting requirements, rules and methodologies for data collection and analysis.

• Recommending changes to the overall system or network to ensure service to the customer.

• Models and evaluates the potential impact of data changes.

• May coach and review the work of less-experienced professionals.

• Guides the successful completion of major programs and as directed function in a project leadership role.

• Analyzes organizational data and conducts advanced statistical analysis.

• Develops technical solutions to complex problems which require the regular use of ingenuity and creativity.

• Models and evaluates the potential impact of data changes.

• Develops innovative strategies and quantifies the competitive performance of the organization's operations and/or markets.

• Coach and review the work of less-experienced professionals.

WHAT YOU’LL NEED TO SUCCEED:

Education: BA/BS with 12 years of experience, or MS/MBA with 10 years of experience

Required Experience:

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

• 7+ years of experience in data architecture and database design.

• Expertise in Snowflake Data Cloud, with a deep understanding of its architectural patterns, scaling, and performance optimization.

• Strong proficiency in SQL and data modeling for large-scale environments, including data lakes and data warehouses.

• Familiarity with Medicaid data, healthcare analytics, and population health datasets.

• Knowledge of ETL/ELT frameworks and experience designing pipelines for large-scale data processing.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and integrating Snowflake within multi-cloud environments.

• Strong understanding of data governance, security, and compliance frameworks (HIPAA, HITECH).

• Proven ability to work with cross-functional teams, including data engineers, analysts, and business stakeholders.

PREFERRED QUALIFICATIONS:

• Experience working with Medicaid Managed Care Organizations (MCOs) and understanding of Medicaid reporting requirements.

• Familiarity with data visualization tools (e.g., Power BI, Tableau) for creating data models that drive insights.

• Knowledge of advanced analytics techniques, including machine learning and AI, as applied to healthcare datasets.

• Experience working in an Agile environment

• Experience working with JIRA, Confluence, and SharePoint

• Ability to analyze existing tools and databases and provide software solution recommendations

• Experience in methodologies and processes for managing large scale databases

• Ability to manage time effectively, to work under time pressure, to meet schedules and deadlines, to multi-task, to plan, organize and prioritize work assignments and pay close attention to detail

The likely salary range for this position is $138,859 - $187,867. 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.

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 30 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.

We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.