Data Architecture & Governance Intern

Are you curious about how large organizations turn raw data into trusted, usable information? Join our Chief Data & Analytics Office (CDAO) this summer as a Data Architecture & Governance Intern, where you'll get hands-on experience working with enterprise data platforms, governance tools, and modern analytics practices. You'll collaborate with data architects, data engineers, data scientists, and product owners to help design, document, govern, and improve the data assets that power decision-making across the enterprise. This role offers real-world exposure to data modeling, metadata management, data quality, and emerging technologies like APIs and AI agents-all while contributing to meaningful, production-relevant work.

Primary Responsibilities:
As a member of the Data Architecture and Governance team, the intern will assist with a variety of initiatives, including:

• Supporting data modeling and data product teams with documentation, metadata enrichment, and asset organization
• Assisting with data governance activities, including business glossary management, data domain alignment, and stewardship workflows
• Building Collibra content and business community views
• Helping synchronize the Collibra DEV environment to make it closer to production (views, glossary terms, and data assets) to support testing and development
• Creating and updating standard operating procedures (SOPs) and training materials, including short how-to guides and videos
• Writing and validating Snowflake SQL queries to support data quality checks, analysis, and governance use cases
• Assisting with data quality initiatives, including profiling, rule definition, and issue tracking
• Collaborating with engineers and data scientists to, build one or two simple APIs or data integrations.
• Participating in team meetings, design discussions, and governance forums to gain exposure to enterprise data decision-making

Basic Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, Analytics, or a related field
• Fundamental understanding of data concepts i.e., data structures and data design (tables, schemas, metadata, data quality, data modeling basics)
• Experience with or coursework involving SQL
• Strong analytical and problem-solving skills
• Ability to document processes clearly and communicate technical ideas to both technical and non-technical audiences
• Comfortable working in a collaborative, team-based environment
• Interest in data governance, data architecture, analytics, or enterprise data platforms
• ship required

Preferred Qualifications:

• Exposure to data governance or metadata management tools.
• Familiarity with Data Modeling Tools.
• Familiarity with cloud data platforms, especially Snowflake
• Experience with Python, REST APIs, or scripting
• Coursework or projects involving data modeling, data engineering, or analytics
• Interest in AI/ML concepts, automation, or agent-based tools
• Strong organizational skills and attention to detail
• Curiosity about how data is managed at scale in large, complex organizations.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:
February 18, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:
Pay Range $40,300.00 - $72,850.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.