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Sr. Manager Customer Data Engineering

Job in Toronto, Ontario, C6A, Canada
Listing for: CaptivateIQ
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Job Description & How to Apply Below

Join to apply for the Sr. Manager Customer Data Engineering role at CaptivateIQ
.

This range is provided by Captivate

IQ. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Captivate

IQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top‑tier investors, including Sequoia, ICONIQ and Accel, we empower high‑growth companies like Netflix, Figma and Stripe with the flexibility and insights needed to drive revenue performance.

About

The Role

As a Data Engineering Manager in the Incentive Commission Plans (ICM) Pillar, you will lead the Payee team. This distributed team ensures that our customers' incentive‑compensated staff receive timely and accurate insights into their pay and opportunities for earnings in a modern interface targeting their unique needs. You will partner with the local Engineering Director to shape the culture and scale the organization in Europe.

Job Location

Hybrid:
Austin, TX
Remote:
Raleigh, NC, Nashville, TN, Toronto, Canada

Responsibilities
  • Lead, inspire, and grow a distributed data engineering team, fostering a culture of high trust and psychological safety.
  • Develop engineering talent through effective coaching, mentorship, and performance management, with a focus on growing senior and staff‑level engineers.
  • Own the end‑to‑end delivery and operational excellence of customer data integrations, ensuring they are reliable and secure at scale.
  • Design and implement customer data integrations using IPaaS platforms like Workato, Boomi, or Mule Soft.
  • Write and optimize advanced SQL (Snowflake) — including DDL, DML, CTEs, UDFs, and JSON transformations — to power analytics and automation.
  • Build and maintain software for orchestration of customer data integrations utilizing web APIs and IPaaS connectors to seamlessly exchange data between Captivate

    IQ and our customers.
  • Ensure customer integrations are secure, testable, fault‑tolerant, and designed for long‑term maintainability.
  • Collaborate with Sales Engineering and Product during discovery and scoping to advise on technical feasibility and data architecture approaches.
  • Build relationships with product engineering to ensure scalability and management of our customer data integrations as customer usage grows.
  • Translate customer business needs into the technical requirements and solutions.
Requirements
  • 7+ years of experience in software and/or data engineering.
  • Proven experience working with data pipelines at scale, and knowledge of data engineering technologies such as Snowflake.
  • Strong proficiency in Python and SQL.
  • High sense of ownership and a strong growth mindset; collaborative, humble learner who thrives in a fast‑paced environment.
Nice to Have
  • Experience in a customer‑facing role.
  • Experience configuring and troubleshooting SSO (SAML, OIDC) and SCIM provisioning across Okta, Entra (Azure AD), and One Login environments.
  • Hands‑on experience setting up modern data stacks (ETL, data warehouses, DBT, reverse ETL).
Benefits
  • (US‑ONLY) 100% medical, dental, and vision coverage, including 75% for dependents.
  • Flexible vacation days and quarterly mental health days.
  • (US‑ONLY) 401(k) plan.
  • Newest Apple products to help you do your best work.
  • Employee Resource Groups (ERGs) supporting DEI goals.
Notice to Prospective Candidates
  • Only emails from  should be trusted.
  • We are aware of active recruitment scams using the Captivate

    IQ name.
  • We will never ask a candidate to use a free web‑based email address such as , , or
  • We will not make an offer of employment without conducting multiple rounds of interviews through secure video‑conferencing technology.
  • We will not request payment or cash checks for equipment or for job consideration.
  • We will not request early personal information such as date of birth, passport details, credit card numbers, bank details or social security number before a job offer is made.
  • We participate in an on‑call rotation to provide after‑hours…
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