Senior Associate Data Architect

L3Harris

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Melbourne, FLSalt Lake City, UTCarlsbad, CAClifton, NJRochester, NYLondonderry, NHNashville, TN
Salary
$84,000–$156,000 / yr
Posted
2 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k
This role $120k
$68k most similar roles pay here $231k

This role pays less than 93% of similar roles. Most pay $142,400–$202,000 — the shaded band above. At the midpoint, this role pays about $120k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About L3Harris

L3Harris Technologies is a US aerospace and defense technology company providing space and airborne systems, communications, electronic warfare, and missile propulsion solutions for government and commercial customers.

L3Harris currently has 550 open roles on FindRole.

Listed pay typically runs $106,500–$197,500 across 211 roles with salary data.

Most-posted roles

View all roles at L3Harris

At a glance

TL;DR · Senior Associate Data Architect

As a Senior Associate, Data Architect on the CSD Business Intelligence team, you will design, build, and maintain scalable data infrastructure and integration solutions to enable segment-wide business intelligence and analytics capabilities. Your daily responsibilities include developing and optimizing Azure Data Factory pipelines, managing data flows into Snowflake from disparate systems, and building functional domain data models for reporting. You will also support advanced initiatives including Palantir Foundry integration while ensuring data quality through validation rules and observability workflows. The role requires proficiency in Python, Git, and dbt, along with experience in Microsoft Fabric, Azure Blob Storage, and Power BI semantic model development. You will solve complex data engineering problems by creating reliable ETL/ELT workflows to transform raw data into structured formats for downstream analytics across multiple business systems.

What you'll do

  • Design and maintain Azure Data Factory pipelines to ingest and transform data from disparate source systems.
  • Manage data flows into Snowflake to ensure reliable delivery for business intelligence and analytics.
  • Develop functional domain data models across multiple business systems to optimize reporting and analytical use cases.
  • Implement validation rules, reconciliation controls, and observability workflows to ensure data quality and pipeline health.
  • Support advanced data initiatives including integration with Palantir Foundry.
  • Build Power BI semantic models and develop dbt transformation workflows for data modeling.
  • Automate data engineering tasks using Python and Git for scripting and development workflows.

What we're looking for

  • Applicants must be pursuing a master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field.
  • Applicants may have completed their master's degree within the last 12 months.
  • Proficiency in Python and Git for data engineering tasks (preferred).
  • Experience with Palantir Foundry for data integration and pipeline development (preferred).
  • Experience with Microsoft Fabric, Azure Data Factory, or Azure Blob Storage (preferred).
  • Knowledge of data governance concepts and familiarity with Microsoft Purview or similar platforms (preferred).
  • Experience with Power BI semantic model development and familiarity with dbt (preferred).
  • Must be a U.S. citizen to obtain a security clearance.

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