Engineering Manager - Data Platform

• Lead, coach, and support a team of data engineers through regular 1:1s, performance conversations, feedback, and career development planning
• Drive team effectiveness across regions by improving ways of working, delivery processes, collaboration patterns, and engineering practices
• Partner with Product, QA, Engineering Leadership, Support, and Client Enablement to align priorities, clarify expectations, and ensure successful delivery
• Foster a culture of ownership, accountability, technical excellence, collaboration, and continuous learning
• Support the growth of the India-based engineering hub by contributing to hiring, onboarding, and team development
• Manage multiple data engineers, providing line management, coaching, feedback, and performance support
• Build and maintain a high-performing engineering team by setting clear expectations, creating development plans, and supporting individual career growth
• Own goal setting, performance planning, and regular performance conversations for team members
• Partner with the Engineering Director to translate engineering strategy into actionable team goals and priorities
• Work closely with Product Management to understand roadmap priorities, clarify scope, and support predictable delivery
• Collaborate with QA to improve quality practices, test coverage, release confidence, and defect prevention
• Partner with Support and Client Enablement to understand customer-impacting issues, improve operational responsiveness, and strengthen feedback loops
• Improve team effectiveness through better planning, estimation, delivery tracking, retrospectives, and continuous improvement practices
• Advocate for engineering best practices including design reviews, code quality, CI/CD, monitoring, documentation, automation, and production ownership
• Help the team balance delivery commitments with technical debt reduction, platform reliability, maintainability, and long-term scalability
• Support engineers in making sound technical decisions, escalating risks, and collaborating effectively with architects, leads, and senior engineers
• Create an inclusive and transparent team environment where engineers feel supported, challenged, and empowered
• Participate in recruiting, interviewing, onboarding, and ramping new data engineering team members
• Identify opportunities to improve developer experience, team workflows, internal tooling, and engineering processes
• Promote strong communication across global teams and ensure stakeholders have visibility into progress, risks, and trade-offs

• 6+ years of experience in software engineering, data engineering, or a closely related technical field
• 2+ years of experience managing, coaching, or formally leading engineers
• Experience leading engineering teams in a fast-paced, agile product environment
• Strong understanding of modern data engineering concepts, including data pipelines, data quality, orchestration, batch processing, cloud infrastructure, and production operations
• Experience working with cross-functional stakeholders such as Product Management, QA, Support, Client Enablement, Engineering Directors, and business teams
• Experience supporting performance management, goal setting, career development, feedback conversations, and team planning
• Experience improving engineering processes, delivery predictability, team collaboration, and operational maturity
• Experience participating in hiring, onboarding, and growing engineering teams
• Strong people leadership skills with the ability to coach, motivate, and develop engineers at different career stages
• Proven ability to create clarity, alignment, and accountability within a team
• Strong performance management skills, including giving direct feedback, recognizing strong performance, and addressing growth areas constructively
• Ability to partner effectively with technical leads and senior engineers without needing to own every technical decision
• Strong stakeholder management skills with the ability to communicate priorities, risks, trade-offs, and progress clearly
• Ability to improve team execution through practical process improvements, lightweight structure, and continuous feedback
• Strong organizational and prioritization skills, with the ability to manage multiple initiatives and competing demands
• Comfortable working with distributed or global teams, primarily in Vancouver, London and Hyderabad
• Familiarity with Lean-Agile methodologies such as Scrum or Kanban
• Excellent written and verbal communication skills
• People-first and outcomes-driven
• Curious and technically grounded
• Operationally thoughtful
• Collaborative and transparent
• Accountable and proactive
• Growth-oriented
• Calm in complexity

Familiarity with C# and .NET is a plus