Engineering Manager, Data Platform & Governance at Canopy

Compensation

$123,800 – $173,100/yr

Setup: Remote, Hybrid
Location: Detroit, Michigan
Type: Full-time
Posted: Jun 9, 2026

Description

Canopy is looking for an Engineering Manager, Data Platform & Governance to lead the development of data capabilities and governance practices for their connected security products and cloud services. The role involves defining and executing data strategies, building scalable data platforms and analytics, and ensuring governance, privacy, and compliance. The manager will collaborate with various internal teams to transform data into actionable insights and drive product innovation.

Required Skills

data platform
analytics
governance
cloud technologies
data architecture
ETL/ELT processes
streaming architectures
data integration solutions
data pipelines
SQL
Python
Java
Scala
AWS
Azure
Google Cloud Platform
GDPR
CCPA

Additional Information

Required Previous Experiences: 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines.
3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership.
Experience designing and operating modern cloud-based data platforms and data pipelines.
Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns.
Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices.
Working knowledge of privacy and data protection regulations, including GDPR and CCPA.
Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making.
Proven ability to balance strategic planning with hands-on technical execution.
Preferred Qualifications: Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.