Manager, Data Engineering

Who we are 

DDI is a global leadership consulting firm that helps organizations hire, promote and develop exceptional leaders. From first-time managers to C-suite executives, DDI is by leaders’ sides, supporting them in every critical moment of leadership. Built on five decades of research and experience in the science of leadership, DDI’s evidence-based assessment and development solutions enable millions of leaders around the world to succeed, propelling their organizations to new heights. For more information visit ddiworld.com.  We’re building data systems that leverage our vast history of data to power product innovations, client insights, and business intelligence. We want to simplify, strengthen, and ensure that our data systems are highly trusted. 

Manager, Data Engineering 

We’re building data systems that leverage our vast history of data to power product innovations, client insights, and business intelligence. We want to simplify, strengthen, and ensure that our data systems are highly trusted. 

That’s where you come in. 

The Job 

You’ll lead a small team of data engineers staying close to the day-to-day details. You’ll review code, create and analyze solution designs, and make technical decisions that define strategy, remove obstacles, and enable the team to do their best work. 

You will be an owner of our data pipelines and platforms from ingestion and modeling to reliability and performance. Our Senior Data Architect will be your closest partner, and you will have real authority to make decisions and improvements. You will also work closely with our Director of Enterprise Data to improve and execute the organizational data strategy 

Your goal is to build solutions that are understandable, dependable, and useful.

Responsibilities

• Lead a group of engineers focused on rapidly developing, scaling, and supporting data products for consumption by clients and business stakeholders 
• Be actively engaged in problem-solving and solution design 
• Own data engineering delivery outcomes (timelines, tradeoffs) 
• Simplify existing pipelines and architectures where complexity or fragmentation has crept in 
• Define and incorporate best practices to uphold quality, reliability, and operational sanity 
• Partner with business and engineering stakeholders to understand needs, align priorities, and translate them into shipped solutions 
• Foster a proactive, can-do, and execution-oriented culture 

(These are the minimum qualifications you need to be considered for the job) 

• 5+ years of experience building and running data systems in production  
• 1+ years of experience managing technical projects as an engineering lead and/or people manager 
• Comfort working across SQL and Python in modern distributed data platforms 
• Aptitude for designing and understanding data systems with varied layers of interdependency 
• Working knowledge of data security and governance standards  
• Exposure to data visualization tools such as Databricks AI/BI, PowerBI, Tableau, etc. 

You don’t need to have used every tool we use. You do need to have solved similar problems and be able to learn quickly. 

Preferred Qualifications 

• Demonstrated ability to communicate technical concepts to a business-focused audience  
• Passion for reinforcing and enriching an engineering team culture that drives empowerment, engagement, and satisfaction  
• An eagerness to learn, a sense of humor, collaborative, and approachable 

Salary: The anticipated hiring range for this position is listed below. Numbers shown reflect base pay only.  

Bonus/Variable Pay: 15%

The exact compensation offered will vary based on skills, experience, and geographic location.

Benefits: Click here for an overview of the benefits DDI offers.