Manager, Data Engineering

$160,000 - $190,000/Yr

Canoe Intelligence - New York, NY

Full-time - Mid Level

Remote - New York, NY

About the position

The Manager of Data Engineering at Canoe Intelligence is responsible for leading and inspiring a team of data engineers. This role involves overseeing data engineering work, mentoring team members, and driving the design and development of Canoe's data platform. The ideal candidate will have a strong technical background in data modeling and infrastructure, along with proven leadership skills to foster a collaborative team culture and accelerate product growth.

Responsibilities

• Lead, mentor, and manage a team of six data engineers.
• Foster a collaborative and inclusive team culture, promoting professional growth and development.
• Drive the hiring process to attract top talent.
• Collaborate with product management and other stakeholders to define and prioritize technical projects.
• Drive the design and development of Canoe's data platform.
• Manage project timelines, deliverables, and resources to ensure successful project completion.
• Identify and mitigate risks, remove roadblocks, and ensure a continuous flow of information within the team.
• Adapt to changing requirements and provide innovative solutions to complex technical challenges.

Requirements

• Minimum of 8 years of experience in software development, with at least 5 in a data engineering role.
• Minimum of 2 years of experience leading teams and managing individual contributors.
• Demonstrated experience working cross-functionally with Product and other Engineering teams to deliver data-driven solutions.
• Excellent leadership, communication, and interpersonal skills.
• Ability to work effectively with ambiguous or missing information and adapt quickly in a startup-like environment.
• Strong problem-solving skills and a passion for getting involved in both technical details and high-level strategy.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

Nice-to-haves

• Experience with core technologies: Kafka, PostgreSQL, AWS, Snowflake.
• A curious explorer who keeps up to date with latest technical developments and has a good knowledge of the process of building data systems.
• A leader who promotes a culture of curiosity, inclusion, and humility.

Benefits

• Medical, dental, vision benefits
• Flexible PTO
• 401(k)
• Flexible work from home policy
• Home office stipend + wifi reimbursement
• Employee Assistance Program
• Gym reimbursement
• Education assistance
• Parental Leave
• Commuter benefits