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L3Harris Technologies, Inc. is seeking an Associate, Data Architect to design and maintain scalable data infrastructure and integration solutions.
You will develop and optimize Azure Data Factory pipelines and manage data flows into Snowflake, while building domain data models across disparate systems to enable BI and analytics capabilities. Collaborate with BI Analysts to ensure data models and pipelines support Power BI dashboards and reports, and leverage Palantir Foundry for integrated
Associate, Data Architect
43047
Multiple (Rochester, NY, Melbourne, FL, Salt Lake City, UT, Londonderry, NH, Nashville, TN, Carlsbad, CA)
9/80: Employees work 9 out of every 14 days – totaling 80 hours worked, and have every other Friday off
This position is responsible for designing, building, and maintaining scalable data infrastructure and integration solutions that enable segment-wide business intelligence and analytics capabilities. As a member of the CSD Business Intelligence team, the selected candidate will develop and optimize Azure Data Factory pipelines, manage data flows into Snowflake, build functional domain data models across disparate systems, and support advanced data initiatives including integration with Palantir Foundry.
In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $74,000 - $138,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $64,500 - $120,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.