Director of Data & AI Engineering — Remote

Digitailor

Ottawa

À distance

CAD 283 000 - 325 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

New hire stock grant
Employer-paid health insurance
401K plan with company contribution
Generous PTO and Parental Leave

Résumé du poste

SQUIRE seeks a Director, Data Engineering to build and lead a data organization spanning Data Engineering, ML Engineering and Analytics. You’ll be hands-on about half the time while mentoring engineers and setting technical direction.

You will own long-term data architecture and pipelines, drive data standards, and enable AI use cases across the company. Partner with the CTO and cross-functional teams to translate strategy into data contracts and platform investments.

Qualifications

  • 8+ years in data or software engineering, including 4+ years managing engineers.
  • Experience leading a multidisciplinary data organization (data, ML, analytics, software) of 5+ people.
  • Advanced SQL and Python skills, with strong MDM fundamentals.
  • Hands-on experience with Snowflake (or equivalent), dbt, and an orchestration tool (Airflow/Dagster/Prefect).
  • Direct experience setting AI and LLM enablement strategy and building with LLM tooling.
  • Director-level scope: budgets, roadmaps, and translating tradeoffs for stakeholders, while remaining hands-on.

Responsabilités

  • Design, build, and debug high-impact pipelines connecting CRM, billing, and internal platforms to the Snowflake warehouse.
  • Own data strategy and architecture across multi-year horizon; stay hands-on with systems' edge cases.
  • Set standards for pipeline design, data modeling, and data quality; ship high-risk work.
  • Lead a growing data organization of 5+ across Data Eng, ML Eng, and Analytics.
  • Own headcount planning, hiring strategy, and budget for the Data organization.
  • Partner with CTO and leaders to translate company strategy into data contracts and platform investments.
  • Audit existing integrations and determine replacements and prioritization.
  • Champion AI and automation, building trusted data foundations for LLM use cases.

Connaissances

Advanced SQL
Python
Leadership
Data architecture
AI/LLM enablement

Outils

Snowflake
dbt
Airflow

Description du poste

SQUIRE seeks a Director, Data Engineering to build and lead a data organization spanning Data Engineering, ML Engineering and Analytics. You’ll be hands-on about half the time while mentoring engineers and setting technical direction.

You will own long-term data architecture and pipelines, drive data standards, and enable AI use cases across the company. Partner with the CTO and cross-functional teams to translate strategy into data contracts and platform investments.

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