Lead Engineer- Stats and Analytics, Data Externalization

Full-time - Senior

About the position

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game ads and digital out-of-home ads. We empower thousands of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America. We're seeking a Lead Engineer to help lead our growing backend engineering team. Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies.

Responsibilities

• Architect scalable low-latency backend systems and data pipelines.
• Write code as needed to support the team.
• Lead and mentor a team of talented engineers within the backend distributed systems team.
• Make a positive impact on the team's productivity and growth.
• Promote software development best-practices and conduct rigorous code reviews.
• Rigorously identify and solve technical challenges.
• Conduct interviews to attract and identify potential high performing candidates.
• Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved.

Requirements

• Extensive experience with big data processing, ideally at the scale of terabytes or more.
• Strong technical leadership skills with a proven ability to define and drive long-term engineering strategies.
• Hybrid expertise in data engineering and software development.
• Hands-on experience with data warehouse technologies is highly desirable.
• Track record of building and scaling robust data pipelines and systems in production environments.
• An ability to think strategically, lead technically, and inspire the team toward delivering high-impact, scalable solutions.

Nice-to-haves

• Familiarity with tools like Trino/Presto, Snowflake, and other modern data warehouse platforms.

Benefits

• Highly competitive salary
• RRSP/401K matching
• 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
• Access to a comprehensive mental health care platform
• Full benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• An awesome parental leave policy
• A friendly, welcoming, and supportive culture
• Our social and team events!