Director of Data Engineering & Platform Excellence

Laudio

Leawood (KS)

Hybrid

USD 179,000 - 256,000

Full time

14 days+

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Benefits offered by this job

Health, dental, vision insurance
401(k) with company match
Paid time off

Job summary

Ascend Learning, LLC is seeking a Director of Data Engineering to lead teams and shape scalable data infrastructure across the enterprise. You’ll drive architecture, governance and partnerships with BI to enable data-driven decisions that create competitive advantage.

Hybrid work from Leawood, KS or Burlington, MA with remote possibilities within the United States. The role requires 7–10 years in data engineering/architecture, strong leadership, cloud expertise, and proficiency in tools like

Qualifications

  • Experience leading data engineering teams and projects.
  • Strong data architecture, modeling and data integration skills.
  • Proven ability to align data initiatives with business goals.
  • Experience with enterprise data platforms and governance.

Responsibilities

  • Lead and mentor data engineering teams across projects.
  • Drive technical strategy, architecture and data quality standards.
  • Manage end-to-end data engineering initiatives within budget and timelines.
  • Collaborate with BI, governance and business leadership for decisions.

Skills

Data architecture
Leadership
Data engineering
Cloud computing
BI & analytics
Agile/Scrum
Communication
Strategic thinking
AI/ML familiarity
DevOps/Automation

Education

Bachelor's degree in CS/DE/IS/SE

Tools

Azure Data Factory
Coalesce
Snowpipe
GitLab
Tableau
Python
R
Terraform
ARM
Azure ML

Job description

Ascend Learning, LLC is seeking a Director of Data Engineering to lead teams and shape scalable data infrastructure across the enterprise. You’ll drive architecture, governance and partnerships with BI to enable data-driven decisions that create competitive advantage.

Hybrid work from Leawood, KS or Burlington, MA with remote possibilities within the United States. The role requires 7–10 years in data engineering/architecture, strong leadership, cloud expertise, and proficiency in tools like

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