Engineering Manager, Data

AgencyAnalytics; Canada; On-site; CAD 125,000 - 175,000; Full time

Job summary

A data-driven company in Canada is seeking an Engineering Manager to lead a team focused on data ingestion and integration. You'll manage engineering processes, drive best practices in data quality, and collaborate on analytics infrastructure for over 7000+ agencies. Ideal candidates will have experience in managing data teams, familiarity with cloud data warehousing, and the ability to ensure reliable data systems. If you are passionate about building innovative data solutions and growing technical talent, we want to hear from you.

Qualifications

• 1+ year as an Engineering Manager or similar technical leadership role.
• Strong familiarity with relational databases and cloud data platforms.
• Experience with building data contexts for AI applications is a plus.

Responsibilities

• Lead a team for data ingestion, transformations, and integration connectors.
• Ensure the reliability of data systems and drive data quality best practices.
• Collaborate with cross-functional teams to design data contracts.

Skills

Data pipeline management

Engineering leadership

Cloud data warehousing

API integrations

SQL proficiency

Tools

PHP

Laravel

GCP Cloud SQL

BigQuery

Redis

Job description

Join to apply for the Engineering Manager, Data role at AgencyAnalytics

This range is provided by AgencyAnalytics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$125,000.00/yr - CA$175,000.00/yr

As Engineering Manager, you'll quickly see your team's work in use by over 7000+ agencies across 150,000+ businesses that use our AgencyAnalytics. Reporting to the Senior Engineering Manager of Platform, you'll lead a team of 6-8 engineers to develop the core functionality of our Data platform.

This role is an opportunity for you to really make a high impact and build as we enter our next phase of growth. We’re looking for someone who not only will be driving feature development, but also ensuring best practices are top of mind too. At AgencyAnalytics, we're kind to each other and strive to build a positive, supportive, and inclusive culture focused on delivering value to our customers. So if this sounds like you, we want to meet you!

As The Engineering Manager, You Will

• Lead, coach and grow a team responsible for data ingestion, transformations, integration connectors, and the data warehouse.
• Be a hands‑on manager: split time between people management and technical work (architecture, code reviews, system design, and occasionally shipping code yourself).
• Own delivery and outcomes for pipeline/integration and data warehouse projects. Set priorities with Product, remove blockers, and protect engineering focus.
• Design and evolve reliable, observable, and secure data pipelines, data schemas, and integrations.
• Drive best practices for data quality, schema evolution, idempotency, retries, backfills, and monitoring/alerting.
• Collaborate with AI‑focused teams and Platform teams to design data contracts and interfaces that enable analytics and AI experiences (feature stores, embeddings, semantic indices).
• Make architectural decisions with an eye toward scale, operability, cost, and maintainability; partner closely with Staff engineers on long‑term architectural work.
• Recruit, mentor, and develop engineers, helping them grow technically and in their careers.
• Establish SLOs/SLIs for pipeline reliability, latency, and throughput; lead team incident response measures and postmortems.

Our Stack

• PHP 8.x with Laravel
• Typescript, React, and Redux
• GCP Cloud SQL (MySQL), BigQuery, and Redis
• GCP Cloud Tasks and PubSub

What You Bring

• Experience running a data pipelines/integrations team (ownership of ingestion, ETL/ELT, or connector platforms).
• At least 1 year in an Engineering Manager role. Prior technical leadership (Tech Lead, Staff Engineer) is strongly preferred.
• Familiarity with cloud data warehousing and analytics platforms (BigQuery), strong operational experience with relational databases (MySQL, Postgres), and caching systems (Redis).
• Experience with API‑first connector platforms and SaaS integrations.
• Recent experience building data context for AI apps: feature stores, embeddings, vector DBs, semantic layers, or tooling that prepares data for LLMs and retrieval-augmented generation is a big plus.
• Strong track record of delivering data systems that are reliable, observable, and maintainable.
• Proven ability to manage tradeoffs between speed, correctness, and cost at scale.
• Comfortable writing and reviewing production SQL, performing database tuning, migrations, and schema design. You want to stay technical.

Note: This posting is for an existing vacancy that we are seeking to fill.

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