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TripleLift

Manager, Data Engineering

On site

Toronto, Canada

Senior

Full Time

23-12-2025

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Skills

Communication Leadership Jira Data Engineering Product Management Agile methodologies Data collection AWS Project Management cloud platforms Agile Analytics GCP Snowflake Data Science Spark Databricks

Job Specifications

About TripleLift

We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.

As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem at triplelift.com.

Role

Triplelift, a fast-growing AdTech Supply Side Platform, tackling some of the most challenging problems in the world of digital advertising, is seeking a highly skilled and experienced Data Engineering Manager within our Data org to lead and scale the Data Engineering team. This team powers the core data infrastructure that drives our AdTech Exchange. You will oversee the end-to-end management of our data pipelines and platforms, ensuring the seamless ingestion, storage, and retrieval of event data from multiple sources. This is a critical role in a fast-paced, growing environment, where you will mentor and manage an existing team of talented data engineers, expand the team as needed, and collaborate with stakeholders across Product, Engineering, Data Science and Commercial teams. Your leadership will be instrumental in fostering a culture of innovation and continuous improvement, driving the team towards excellence in data engineering and maintaining a high standard of delivery within the team.

Responsibilities

Manage, mentor, and develop a high-performing team of geo-distributed data engineers, foster a collaborative, inclusive, and growth-oriented team culture, while identifying hiring needs and recruiting top talent to scale the team.
Oversee the design, implementation, and maintenance of scalable, low-latency data pipelines and platforms that process 100’s of billions of daily events, ensure efficient ingestion, processing, and storage of high-volume, high-throughput event data
Manage data platforms, including data lakes (S3), warehouses (Snowflake), and real-time analytics tools, to meet business needs
Set the technical direction and ensure best practices for data engineering, while working with Product Management peers and cross-functional stakeholders to define requirements and prioritize engineering projects
Drive agile project management practices, ensure timely delivery of data engineering projects, and communicate project status, risks, and opportunities to senior leadership and stakeholders.
Lead initiatives to optimize costs, monitor data quality, and implement security and compliance standards, and collaborate with architects and engineers to enhance system performance, reliability, and scalability.
Contribute to the development and enhancement of data infrastructure, including data collection, storage, and retrieval systems
Stay up-to-date on emerging trends, tools, and technologies, and foster a culture of quality, innovation and continuous improvement, both within the Data Engineering team and the Data org as a whole

Qualifications

7+ years of experience in Data Engineering, with at least 3 years in a managerial role, demonstrated ability to grow and scale teams effectively, and strong experience in mentoring and managing engineering teams in a fast-paced, geographically distributed, environment
Proven expertise in building and managing data engineering platforms for large-scale, high-throughput applications
Deep expertise in cloud platforms (e.g., AWS, GCP) and related services for data processing (Spark/Databricks, Snowflake, Airflow, Druid).
Hands-on experience with modern data engineering tools and frameworks (e.g., data pipelines, orchestration engines, distributed storage systems).
Excellent project management skills, including expertise with tools like JIRA and Agile methodologies.
Proven ability to translate business requirements into technical solutions, and strong communication skills to work effectively with cross-functional stakeholders, including Product, Engineering, and Commercial teams.
Knowledge of AdTech or real-time event streaming systems is a plus.

US Jobs: The base salary range represents the low and high end of the TripleLift US salary range for this position. Actual salaries will vary depending on factors including but not limited to experience and performance. The range listed is just one component of TripleLift’s total compensation package for employees. Other rewards may include bonuses, an open Paid Time Off policy, and many region-specific benefits.

Pay is based on various non-discriminatory factors including but not limited to experience, educ

About the Company

TripleLift is the Creative SSP that transforms digital advertising through creative technology and innovative ad formats. We help publishers, advertisers, and agencies achieve measurable outcomes while enhancing user experiences. Discover how we bring creativity and results together. Know more