Lead, IT Architecture; Data Engineer

L3

Harris 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. L3

Harris 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.

L3

Harris 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:

L3

Harris 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 9years prior Palantir experience or Graduate Degree and a minimum of 7years of prior Palantir experience
  
  In lieu of degree, minimum 13years of prior Palantir experience.
• Minimum of 4years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
• Minimum of 4years 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…