Job description

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, IT Architecture (Data Engineer) Job Code: 35910 Job Location: (On Site) Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off Job Description: L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company’s modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data. Essential Functions: • Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise. • Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability. • Create, update, and optimize data connections, datasets, and transformations to align with business needs. • Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems. • Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use. • Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications. • Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale. • Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides. Qualifications: • Bachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience. • Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python. • Minimum of 4 years of experience in Data Integration. Preferred Additional Skills: • Experience with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build. • Experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry. • Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies. • Hands-on experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning. • Proficiency in Python, PySpark, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation. • Experience with other ETL tools such as Azure Data Factory (ADF), SSIS, Informatica, or Talend is highly desirable. • Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more. • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar. #LI-NR1 L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish . For information regarding your Right To Work, please click here for English or Spanish .

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Must-haves

Job Title: Lead, IT Architecture (Data Engineer)
Job Code: 35910
Job Location: (On Site) Melbourne, FL
Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off
Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise.
Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability.
Create, update, and optimize data connections, datasets, and transformations to align with business needs.
Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems.
Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use.
Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications.
Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale.
Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides.
Bachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience.
Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
Minimum of 4 years of experience in Data Integration.
Experience with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build.
Experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry.
Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies.
Hands-on experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning.
Proficiency in Python, PySpark, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation.
Experience with other ETL tools such as Azure Data Factory (ADF), SSIS, Informatica, or Talend is highly desirable.
Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more.
Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar.
L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish . For information regarding your Right To Work, please click here for English or Spanish .

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Platform: career-feeds
Effort: medium

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