Canopy logo
Canopy

The first smart security camera for your pickup truck 🚨 Backed by Ford 🛻

Engineering Manager, Data Platform and Governance

Engineering ManagerEngineering ManagerFull TimeRemoteLeadTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

Michigan

Posted

10 days ago

Salary

$123.8K - $173.1K / year

Seniority

Lead

Job Description

Engineering Manager, Data Platform and Governance

Canopy

• Define and execute the company's data platform, analytics, and governance strategy. • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows. • Establish technical roadmaps, architecture standards, and best practices for data systems and services. • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth. • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes. • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions. • Establish data quality, observability, lineage, cataloging, and reliability practices. • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams. • Develop and maintain enterprise data governance policies, standards, and operating procedures. • Define data ownership, stewardship, retention, classification, and lifecycle management processes. • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations. • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data. • Establish auditability, data access controls, and governance processes for AI and analytics workloads. • Support security reviews, risk assessments, compliance audits, and customer data inquiries.

Job Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 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.
  • Strong stakeholder management, communication, and collaboration skills.
  • Proven ability to balance strategic planning with hands-on technical execution.

Benefits

  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

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