Highlights
This individual will be responsible for improving data quality, developing data models and pipelines, and ensuring operational data is structured, accessible, and actionable for business decision-making. L3Harris is seeking a Data Architect to design, build, and maintain scalable data solutions that support manufacturing, operations, analytics, and AI initiatives.
Numbers & Facts
| Location | Salt Lake City, UT |
| Industry | Staffing/Employment Agencies |
| Salary | $50 |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
Description
Data Architect - 9/80 Schedule, 8: 00am - 5: 30pm
Position Summary
L3Harris is seeking a Data Architect to design, build, and maintain scalable data solutions that support manufacturing, operations, analytics, and AI initiatives. This individual will be responsible for improving data quality, developing data models and pipelines, and ensuring operational data is structured, accessible, and actionable for business decision-making.
Key Responsibilities
Design and maintain enterprise data architectures, including data warehouses, data lakes, and cloud-based data platforms.
Develop and optimize SQL queries, data pipelines, and integration processes to support reporting and analytics.
Build and maintain scalable infrastructure for data collection, storage, analytics, and AI/ML applications.
Establish data models, governance standards, and best practices for managing enterprise data.
Clean, structure, and improve data quality across multiple systems and data sources.
Troubleshoot and resolve data performance, reporting, refresh, and integrity issues.
Partner with manufacturing, operations, and engineering teams to understand data requirements and deliver solutions that support business objectives.
Support integration of industrial systems, including PLC and SCADA environments, where applicable.
Evaluate emerging analytics, AI, and DoD data technologies and recommend improvements.
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
5+ years of experience in data architecture, data engineering, database management, or related fields.
Strong proficiency with SQL, Python, and data modeling concepts.
Experience with data warehouses, data lakes, ETL/ELT processes, and cloud data platforms.
Knowledge of data governance, data quality management, and analytics best practices.
Ability to translate complex operational data into meaningful business insights.
Preferred Qualifications
Experience supporting manufacturing, aerospace, defense, or industrial operations.
Familiarity with PLC, SCADA, MES, or other operational technology systems.
Experience with AI/ML data environments and analytics platforms.
Active Secret Clearance or ability to obtain one.
Position Summary
L3Harris is seeking a Data Architect to design, build, and maintain scalable data solutions that support manufacturing, operations, analytics, and AI initiatives. This individual will be responsible for improving data quality, developing data models and pipelines, and ensuring operational data is structured, accessible, and actionable for business decision-making.
Key Responsibilities
Design and maintain enterprise data architectures, including data warehouses, data lakes, and cloud-based data platforms.
Develop and optimize SQL queries, data pipelines, and integration processes to support reporting and analytics.
Build and maintain scalable infrastructure for data collection, storage, analytics, and AI/ML applications.
Establish data models, governance standards, and best practices for managing enterprise data.
Clean, structure, and improve data quality across multiple systems and data sources.
Troubleshoot and resolve data performance, reporting, refresh, and integrity issues.
Partner with manufacturing, operations, and engineering teams to understand data requirements and deliver solutions that support business objectives.
Support integration of industrial systems, including PLC and SCADA environments, where applicable.
Evaluate emerging analytics, AI, and DoD data technologies and recommend improvements.
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
5+ years of experience in data architecture, data engineering, database management, or related fields.
Strong proficiency with SQL, Python, and data modeling concepts.
Experience with data warehouses, data lakes, ETL/ELT processes, and cloud data platforms.
Knowledge of data governance, data quality management, and analytics best practices.
Ability to translate complex operational data into meaningful business insights.
Preferred Qualifications
Experience supporting manufacturing, aerospace, defense, or industrial operations.
Familiarity with PLC, SCADA, MES, or other operational technology systems.
Experience with AI/ML data environments and analytics platforms.
Active Secret Clearance or ability to obtain one.
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.