Senior Associate, Data Architect

Job Description:

The Data Architect role is an early career position that supports the development of data solutions in a project-based environment. Working with senior data architects business intelligence analysts and cross-functional teams this individual will help with data modeling data integration migration activities and reporting solutions while learning L3Harris tools standards and best practices. This role is a good fit for candidates with interest or experience in either back-end data architecture work or front-end analytics and reporting with the opportunity to grow across both areas over time.

Essential Functions:

• Support senior data architects in the design and maintenance of data models and data solutions.
• Assist with data integration extract transform and load (ETL) and data migration activities across multiple sources.
• Help develop and maintain logical and physical data models based on business and technical needs.
• Support enterprise data environments including data warehouses and platforms such as Snowflake and Palantir.
• Assist with dashboards reports and analytic outputs using tools such as Power BI Tableau or similar platforms.
• Troubleshoot data processing reporting and data quality issues.
• Collaborate with project teams and stakeholders to support solution development and delivery.
• Participate in testing deployment maintenance and documentation of data solutions.
• Travel up to 10% as required.

Qualifications:

• To be eligible applicants must be pursuingamasters degree inSystems Engineering Electrical EngineeringComputer SciencePhysics MathematicsEngineeringor related fieldor have completed their masters degree within the last 12 months regardless of age.

Preferred Additional Skills:

• Exposure to Palantir or similar enterprise data platforms.
• Familiarity with data warehouses such as Snowflake.
• Familiarity with Power BI Tableau Power Query Power Pivot or similar analytics tools.
• Exposure to relational or non-relational databases.
• Interest in learning enterprise data architecture standards and best practices.
• Curiosity willingness to try new approaches and openness to learning and using new technologies to grow technical skills. Basic knowledge of SQL Python or similar scripting or query languages.
• Foundational understanding of data modeling data structures analytics reporting or data management concepts.
• Exposure to either back-end data work such as ETL integration migration or modeling or front-end analytics work such as dashboards reporting and analysis.