Manager, Software Engineering
Fully Remote • Toronto, ON
The role Are you an experienced engineering manager with a desire to make a difference?
Are you hands-on with managing cloud data technologies related to Data Analytics, Big Data, Data Warehouses, and Data Lakes?
As Manager, Software Engineering you'll be leading a team building a cloud data platform that will allow our customers and partners access to tools and technologies that utilize data in the unprecedented way to provide actionable insights into their business.
If you thrive in a fast-paced, rapidly changing team environment and have an unquenchable passion for cutting-edge technologies, then this role is for you!
Responsibilities - Manage and lead your reports and resources to execute on the engineering vision. This includes recruiting, mentoring, and the development of individuals on your team.
- Manage onshore and offshore technology staff.
- Provide leadership, mentorship, and guidance for software development teams onshore and offshore in architecting, designing, building, documenting, and testing software and data solutions for data & analytics platform and product offerings.
- Collaborate extensively with our Product team to ensure a unified vision and continued improvements to the platform and multiple products.
- Manage, negotiate, and develop third-party vendor relationships alongside the Software Engineering management team, as they relate to tools, outsourcing, and consulting.
- Own, manage and execute the Data and Analytics technology roadmap consisted of the data and analytics strategy, as well as the technical implementation of scalable data and analytics platform and product rollouts.
- Assist in the creation of product roadmaps as well as sprint and release planning by participating and leading team grooming sessions and helping teams provide work effort estimations.
- Demonstrate strong coding and data modeling skills, ability to lead and contribute to the teams' efforts while following established software engineering practices including ability to contribute and conduct code reviews, contribute high-quality documentation, hands-on assistance in the development of robust scalable applications, as well as act as role model for their team.
- Adhere to the agile software development life cycle best practices and governance.
- Adhere to the software development and data architecture best practices and governance.
- Effectively deliver product fixes and service packs as required; coordinate efficient and repeatable fix delivery cycles.
- Partner with the CISO organization to adhere to corporate data security standards for platform and application development.
- Own and drive KPI's critical to software and data quality which primarily includes increasing engineering confidence and release frequency to new levels.
Required Skills/Abilities: Knowledge, Skills & Experience:
- BS/MS Engineering degree, or equivalent.
- Highly skilled with hands-on experience and domain expertise in both data and analytics technologies as well as cloud-native data architecture design and best practices
- At least 10 years of experience in a technology-based position, with at least 7 years people management experience leading increasingly complex and challenging projects that have led to the delivery of technology solutions into business organizations.
- 7+ years of experience in designing, developing, and maintaining the data architecture, data models and standards for various Data Integration & Data Warehousing projects.
- 7+ years of experience programming in web, object-oriented or functional programming environments
- Solid understanding of enterprise and cloud-native business intelligence architecture.
- Experience working with git and knowledge of strategies and branching patterns for team collaboration.
- A broad range of skills and experience ranging from data architecture to ETL, security, performance analysis, analytics, etc.
- Design, coding, and unit testing of software
- Have worked as an integral member of the development team collaborating with product, engineering, and other business groups by designing and developing highly scalable data-driven SaaS applications.
- Hands-on experience either with Microsoft Azure or AWS.
- Hands-on experience building data and analytics products with Microsoft Fabric or Snowflake for data visualization and reporting tools such as PowerBI using real time or near time synchronization.
- Experience with release/deployment processes.
- Possessing any of the following certifications is a plus:
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Data Analyst Associate (Power BI)
- Snowflake Certified Professional
Leadership Qualifications: - Exceptional interpersonal communication skills (written and verbal), attention to detail, extreme organization, problem-solving and time management skills.
- Strong remote team leadership and collaboration qualities. Ability to work independently and across many time zones.
- An ownership mentality and entrepreneurial approach, including comfort with intelligent risk taking and problem-solving skills.
- Be well organized with good delegation skills.
- Experience in leading Agile/Scrum development practices
- Ability to build and maintain relationships with senior management, stakeholders, and team members.
- Results-oriented self-starter in need of limited or no supervision
- Verifiable presentation skills, as a confident communicator who is enthusiastic, self-starting, and flexible in style and approach.
Benefits: - Medical, Dental, Paid Sick Days, Vision, and Supplemental Coverage
