Lead Software Engineer,CX – Platform Data

Posted 4 Days Ago
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Atlanta, GA
In-Office
Senior level
Cloud • Software • Analytics
The Role
Lead initiatives in data engineering, design robust solutions, mentor engineers, ensure reliability and performance, and collaborate with cross-functional teams.
Summary Generated by Built In

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

Overview 

We are seeking a highly skilled Lead Data Engineer to join our Engineering CX organization. This role will be based in Atlanta, GA and will collaborate closely with teams in Salt Lake City and Pune, maintaining reasonable overlapping hours. The Lead Data Engineer will guide major data initiatives, mentor engineers, and drive forward our evolving data strategy.  

Key Responsibilities 

  • Lead endtoend design and execution of largescale data engineering initiatives.  
  • Partner closely with crossfunctional teams, including Engineering, Analytics, and Data Governance. 
  • Architect robust data solutions aligned with the company’s strategic direction in data federation, semantic layers, and data governance.  
  • Ensure high reliability, performance, and scalability across all data platforms. 
  • Provide technical mentorship and leadership to senior and junior data engineers. 
  • Collaborate with product and engineering leadership (including VP-level stakeholders) throughout the hiring and delivery lifecycle. 
  • Champion best practices, emerging technologies, and modern AIdriven development workflows.  

Required Technical Background 

  • Strong expertise with Snowflake (highest priority). 
  • Hands-on experience with Kafka, Flink, Spark, and Airflow. 
  • Experience with semantic layers (e.g., Cube). 
  • Experience with federated data layers (e.g., Trino). 
  • Knowledge of distributed systems and modern data engineering patterns. 
  • Proficiency with AI tools supporting data engineering workflows. 

 

Preferred Qualifications 

  • Prior experience leading engineering teams or technical programs. 
  • Demonstrated ability to design and implement enterprise-grade data solutions. 
  • Strong learning orientation and enthusiasm for emerging technologies.  
  • Ability to work independently and drive execution across distributed teams.  

 


About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.


Top Skills

Ai Tools
Airflow
Flink
Kafka
Snowflake
Spark
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The Company
HQ: Hoboken, NJ
10,130 Employees
Year Founded: 1986

What We Do

NICE (Nasdaq: NICE) is the worldwide leading provider of both cloud and on-premises enterprise software solutions that empower organizations to make smarter decisions based on advanced analytics of structured and unstructured data. NICE helps organizations of all sizes deliver better customer service, ensure compliance, combat fraud and safeguard citizens. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, are using NICE solutions. www.nice.com.

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