Manager, Software Engineering

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead and expand a software engineering team, which includes hiring, mentoring, and developing team members.

• Oversee both onshore and offshore engineering personnel.

• Provide technical guidance on architecture, design, construction, documentation, and testing for the data and analytics platform and its products.

• Collaborate with Product to establish a shared vision and drive continuous improvement across the platform and various products.

• Own the data and analytics roadmap, overseeing the strategy through the technical execution of scalable platform and product launches.

• Contribute to product roadmaps, sprint planning, and release scheduling.

• Facilitate grooming sessions and assist the team in estimating efforts.

• Remain actively involved in coding, data modeling, code reviews, quality documentation, and upholding technical standards.

• Adhere to agile SDLC, data architecture, engineering best practices, and governance protocols.

• Deliver fixes and service packs in a consistent and efficient manner.

• Collaborate with security leadership to comply with corporate data security standards.

• Take ownership of software and data quality KPIs, emphasizing release frequency and engineering confidence.

• Manage relationships with third-party vendors for tools, outsourcing, and consulting services.

⛳️ Requirements

• BS/MS in Engineering or an equivalent field.

• Extensive hands-on experience with data and analytics technologies, along with cloud-native data architecture design and best practices.

• Over 10 years of experience in technical roles.

• More than 7 years of experience in people management and leading increasingly complex projects to successful delivery.

• At least 7 years of experience in designing and maintaining data architecture, data models, and standards for data integration and warehousing.

• A minimum of 7 years programming experience in web, object-oriented, or functional environments.

• Strong foundation in enterprise and cloud-native BI architecture.

• Proficient with Git and team branching strategies.

• A comprehensive understanding of data architecture, ETL, security, performance, and analytics.

• Experience in building highly scalable, data-driven SaaS applications in close collaboration with product and engineering teams.

• Practical experience with Azure or AWS.

• Hands-on experience in developing data and analytics products using Microsoft Fabric or Snowflake, feeding reporting tools such as Power BI with real-time or near-real-time synchronization.

• Familiarity with release and deployment processes.

• Proven experience in leading remote teams across multiple time zones.

• Strong delegation skills and experience in Agile/Scrum leadership.

• Certifications such as Azure Data Engineer Associate, Azure AI Engineer Associate, Azure Solutions Architect Expert, Power BI Data Analyst Associate, or Snowflake/SnowPro are advantageous.

🏝️ Benefits

• Flexible PTO.

• Medical, dental, and vision coverage.

• Supplemental and paid sick leave coverage.

• Health savings account.

• Retirement savings match.