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Lead Data Engineer

Lutron Electronics Co., Inc
Posted 2 months ago, valid for 18 days
Location

Philadelphia, PA, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Lutron is hiring a Lead Data Engineer in Coopersburg, PA or Philadelphia, PA to develop a cloud-native data and AI platform.
  • The role requires a minimum of 8 years of experience in data engineering, focusing on distributed systems and data platforms.
  • Responsibilities include leading the design and implementation of data solutions, mentoring engineers, and developing production-quality data pipelines using technologies like Python and SQL.
  • Candidates should possess a Bachelor’s or Master’s degree in a relevant field with a minimum GPA of 3.00.
  • Lutron offers competitive compensation and benefits, emphasizing growth and education within a dynamic, technology-driven environment.
Overview

Lutron is seeking a Lead Data Engineer in Coopersburg, PA or Philadelphia, PA to help build and scale a modern, cloud-native data and AI platform powering analytics, real-time intelligence, and next-generation products.

 

In this role, you will shape the architecture and direction of our enterprise data ecosystem while applying your expertise in distributed systems, data platforms, and AI enablement. 

 

 

You will lead scalable data solutions, drive modern engineering practices, and mentor engineers across teams. Apply your experience in streaming pipelines, cloud platforms, and data modeling to deliver high-impact systems powering intelligent products and business insights. 
 

 

 

 


Responsibilities

  • Lead the technical design and implementation of Lutron's enterprise data platform supporting analytics, reporting, AI initiatives.  

  • Define engineering standards, and best practices for scalable data platforms across the data team.  

  • Mentor Data Engineers through design reviews, code reviews, and technical coaching.  

  • Design, develop, test and maintain production-quality data pipelines using Python, SQL, PySpark and other cloud-native technologies.  

  • Build reliable batch and event-driven data ingestion pipelines that process structured and semi-structured data from enterprise applications, manufacturing systems, Lutron products, and external partners.  

  • Integrate data from sales, manufacturing, supply chain, finance, engineering, customer support, and other enterprise platforms into trusted analytical datasets.  

  • Design scalable dimensional and domain-oriented data models supporting operational reporting, executive dashboards, self-service analytics, and AI workloads across a distributed data mesh organization. 

  • Establish monitoring, alerting, and observability for production data pipelines.  

 

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or Software Engineering 
  • Minimum, cumulative GPA of 3.00 for all degrees earned 
  • 8+ years of experience in a related field 
  • Proven expertise in modern data modeling, real-time and batch data processing, and cloud-based architectures 

 

Lutron Electronics’ position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation for unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our customers worldwide. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent.  Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at  www.lutron.com

 

Lutron Electronics is an Equal Opportunity – Affirmative Action – Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics.

 

#LI-VV1 

 

#LEC1




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