Engineering Manager, Data Platform and Governance

Canopy

Engineering Manager leading the development of data capabilities and governance in AI-powered vehicle security solutions. Collaborating with cross-functional teams to drive insights and innovation.

Posted 6/9/2026full-timeRemote • Missouri • 🇺🇸 United StatesSeniorLead💰 $123,800 - $173,100 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformJavaPythonScalaSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringanalytics engineeringdata scienceETLELTdata integrationdata warehousingdata lakesSQLPython

Soft Skills

leadershipmentoringperformance managementstakeholder managementcommunicationcollaborationstrategic planningtechnical execution