About this role
<div> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><strong><span>Job Title: Senior Associate, Data Architect </span></strong></span></p> </div> <div> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><strong><span>Job Code: 40398</span></strong></span></p> </div> <div> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><strong><span>Job Location: <span>Huntsville, AL</span></span></strong></span></p> </div> <div> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><strong><span>Job Schedule: </span><span>9/80: </span><span>Employees work 9 out of every 14 days – totaling 80 hours worked, and have every other Friday off</span><span> </span><span> </span></strong></span></p> </div> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><strong>Job Description:</strong></span></p> <p> </p> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">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.</span></p> <p> </p> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><strong>Essential Functions:</strong></span></p> <ul> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Support senior data architects in the design and maintenance of data models and data solutions.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Assist with data integration, extract, transform, and load (ETL), and data migration activities across multiple sources.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Help develop and maintain logical and physical data models based on business and technical needs.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Support enterprise data environments, including data warehouses and platforms such as Snowflake and Palantir.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Assist with dashboards, reports, and analytic outputs using tools such as Power BI, Tableau, or similar platforms.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Troubleshoot data processing, reporting, and data quality issues.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Collaborate with project teams and stakeholders to support solution development and delivery.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Participate in testing, deployment, maintenance, and documentation of data solutions.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Travel up to 10% as required.</span></li> </ul> <p> </p> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><strong>Qualifications:</strong></span></p> <ul> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span><span>To be eligible, applicants must </span><span>be pursuing</span><span> a </span><span>master's degree in </span><span>Systems Engineering</span><span>, Electrical Engineering, </span><span>Computer Science, </span><span>Physics, Mathematics, </span><span>Engineering</span><span> </span><span>or related field or have completed their master's degree within the last 12 months, regardless of age.</span></span> </span></li> </ul> <p> </p> <p><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><strong>Preferred Additional Skills:</strong></span></p> <ul> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Exposure to Palantir or similar enterprise data platforms.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Familiarity with data warehouses such as Snowflake.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Familiarity with Power BI, Tableau, Power Query, Power Pivot, or similar analytics tools.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Exposure to relational or non-relational databases.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Interest in learning enterprise data architecture standards and best practices.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">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.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">Foundational understanding of data modeling, data structures, analytics, reporting, or data management concepts.</span></li> <li style="font-family:verdana, geneva, sans-serif;font-size:14.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:14.0pt">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.</span></li> </ul>