Manager of Data Engineering

  • Dallas, TX
  • Full Time
  • Experienced

About StackPath

StackPath is cloud platform built at the internet’s edge, providing infrastructure and services physically closer to the source or destination of data than hyperscale cloud service providers. StackPath edge compute—including Virtual Machines and Containers—and edge applications—including CDN and WAF—are strategically located in the world’s most densely populated areas, and united by a secure private network backbone and a single management system. Customers ranging from Fortune 50 enterprises to one-person startups trust StackPath to give their latency-sensitive workloads and applications the speed, security, and efficiency they require. For more information, visit and follow StackPath at and

About the Role

We are looking for an experienced Manager for our Data Engineering team. As the leader of this team, you will drive the development of various architectures to transform raw data into useful data systems as well as take ownership of our data storage and information exchange direction. You will be responsible for mentoring the team of Engineers and Architects to ensure that the solutions are scalable and reliable to meet our growing data needs. Overall, you’ll strive for efficiency by aligning data systems with business goals across all product lines. 

To succeed in this role, you should have strong analytical skills, experience with various data storage, management and transformation technologies as well as a solid understanding of practical coding concerns.  You should also have the ability to evaluate new technologies and conduct competitive analysis while being able to make decisions and drive projects to completion. 

If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you. 

Essential Duties and Responsibilities

  • Engage with product leadership to identify and implement the data vision for StackPath.
  • Build and grow a team of data engineers and architects.
  • Improving data quality and efficiency.
  • Empower the team to build optimal data systems and pipelines.
  • Analyze and interpret trends and patterns related to the data.
  • Explore ways to enhance data quality and reliability.
  • Identify opportunities for data acquisition.
  • Develop ways to use our data as a strategic asset.
  • Collaborate with data scientists and architects on several projects.

Desired Skills and Experience

  • 10+ years of experience in data engineering, data strategy, data architecture or data analytics
  • 3+ years of data engineering management experience
  • Hands-on experience with high volume Kafka based architectures and streaming frameworks (Spark, Flink, Beam)
  • Technical expertise with data models, data mining, and segmentation techniques
  • Hands-on experience with programming languages (e.g.  Go, Python, TypScript)
  • Knowledge of cloud platforms (e.g. GCP, AWS, Azure)
  • Knowledge of distributed systems and architectures
  • Hands-on experience with SQL and NOSQL database design
  • Degree in Computer Science, IT, or similar field; a master’s is a plus
  • Data engineering certification is a plus


This job description is not intended to be all-inclusive.

StackPath is an Equal Opportunity Employer. EOE/AA M/F/D/V


If your experience and qualifications match our current needs, a member of our human resources team will contact you. We look forward to hearing from you.

StackPath collects and processes personal data submitted by job applicants in accordance with our Privacy Policy


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