Data Architecture & Governance Intern

About the Data Architecture & Governance Intern Role at Leidos

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. You'll gain hands-on experience working with enterprise data platforms, governance tools, and modern analytics practices. This role involves collaboration 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. You'll get 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 at Leidos.

Primary Responsibilities

As a Data Architecture & Governance Intern, you 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, including data structures, 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.

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.

Key skills/competency

• Data Governance
• Data Architecture
• Data Modeling
• Metadata Management
• Data Quality
• SQL
• Snowflake
• Collibra
• APIs
• Python