Senior Specialist, Data Architect

L3Harris

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Quick summary

Work type
On-site
Location
Salt Lake City, UT
Posted
7 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $190k
$133k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $153,837–$226,025.

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 877 open roles on FindRole.

Listed pay typically runs $106,500–$197,500 across 350 roles with salary data.

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At a glance

TL;DR · Senior Specialist, Data Architect

JOB TITLE: Sr Spec, Data Architect As a member of the Data Analytics team, the Sr Spec, Data Architect will translate business needs into effective data and analytics solutions to solve important business problems. This role involves designing, developing, and maintaining scalable data pipelines, implementing data modeling, and ensuring data security and governance. You will work with structured and unstructured data sources to support analytics and operational use cases while mentoring junior engineers. Key technologies include Python, SQL, Java, and Scala, alongside Spark, Flink, Snowflake, and Databricks DLT. You will utilize orchestration tools like Apache Airflow, Azure Data Factory, and Prefect, while leveraging AWS and Azure cloud platforms. Experience with Kinesis, Kafka, Docker, Kubernetes, and AI/ML platforms like AWS Bedrock is required to support mission-critical defense and government sector requirements.

What you'll do

  • Design, develop, and maintain scalable data pipelines using Python, SQL, and orchestration tools like Airflow.
  • Translate business requirements into effective data, analytics, and AI/ML solutions.
  • Ingest, transform, and store structured and unstructured data from various sources to meet business needs.
  • Implement data modeling and database designs to support operational and analytical use cases.
  • Optimize SQL queries and database performance for high-concurrency environments.
  • Deploy scalable and cost-effective data solutions using AWS and Azure cloud platforms.
  • Mentor junior data engineers and provide technical guidance to promote team skill growth.
  • Validate and test analytics and AI/ML solutions to ensure they meet performance and quality standards.

What we're looking for

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
  • Minimum 6 years of relevant experience with a Bachelor’s degree, 4 years with a Graduate degree, or 10 years without a degree.
  • Minimum 4 years of experience in data science, advanced analytics, data analysis, or a related role.
  • Proficiency in data engineering languages including Python, SQL, Java, or Scala.
  • Proficiency in large scale data processing engines such as Spark, Flink, and Snowflake.
  • Experience with cloud-based AI/ML platforms, open-source AI/ML solutions, and containerization technologies like Docker and Kubernetes.
  • Experience with orchestration tools like Apache Airflow, Azure Data Factory, Prefect, FiveTran, or Mage.
  • Security clearance.

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