Lead Platform Data Engineer

iDigHardware

Golden, CO, US
$131,400 - $205,000; bonus eligible: yes; benefits...
On-site
Data topology and inventory
Data contracts (openapi/asyncapi)
Ai-powered insight generation
Allegion is seeking a Lead Platform Data Engineer to oversee data architecture that connects product applications throughout the customer lifecycle. The role involves significant technical leadership, focusing on data strategy, platform engineering, and governance while providing mentorship to engineering teams

Job Summary

  • As a Lead Platform Data Engineer, you will own the data architecture that connects product applications across the full customer lifecycle.
  • You'll operate with significant autonomy on ambiguous, cross-functional problems - working across organizational boundaries to align teams on shared identifiers, event schemas, and integration patterns.
  • Allegion is proud to be a recipient of the Gallup Exceptional Workplace Award for the second year in a row, recognizing our commitment to employee engagement, strengths-based development, and unlocking human potential.

Matching Summary

Match Score: 85

Allegion is seeking a Lead Platform Data Engineer to oversee data architecture that connects product applications throughout the customer lifecycle. The role involves significant technical leadership, focusing on data strategy, platform engineering, and governance while providing mentorship to engineering teams.

Salary

$131,400 - $205,000; Bonus Eligible: Yes; Benefits: Health, dental and vision insurance coverage, 401K plan with 6% company match, Tuition Reimbursement, Unlimited PTO

Skills & Requirements

Must-have

  • Data topology and inventory
  • Data Contracts (OpenAPI/AsyncAPI)
  • AI-powered insight generation
  • Workflow orchestration (e.g., Airflow, dbt)
  • CI/CD pipelines
  • Data quality monitoring, lineage tracking, and observability
  • Expert Data Modeling
  • Lakehouse architectures
  • Mastery of SQL
  • Advanced Python and/or Go/Java
  • Infrastructure as Code (Terraform/CloudFormation)
  • Core cloud services (AWS/Azure/GCP)

Nice-to-have

  • Technical leadership role
  • Architectural vision
  • Influence stakeholders
  • DataOps practices
  • AI/ML models or LLMs

Key Requirements

  • Bachelor’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field
  • 7+ Years in Data Engineering
  • 2+ years in a Lead or Staff capacity
  • Proven track record of implementing a formal data strategy and topology
  • Experience working directly with Product and Executive teams
  • Previous experience building feature stores or pipelines for AI/ML models or LLMs

Work Rights

Must be legally authorized to be employed in the United States

Tailored Resume

Cover Letter