Senior Data Engineer Lead - Airflow, Snowflake & AI

ITC Infotech

Vancouver

On-site

CAD 140,000 - 190,000

Full time

7 days ago
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Job summary

ITC Infotech is seeking a Senior Data Engineer to lead delivery across ingestion, streaming, transformation, and data product enablement in a fast-paced, multi-track program. You will drive governance, ensure production readiness, and collaborate with Directors, Tech Managers, and product teams to translate business priorities into actionable plans.

The role requires deep expertise in data engineering, SQL, Python, Snowflake, and Databricks, with strong experience in Airflow and Kafka.

Qualifications

  • 10+ years in technology with 5+ years in data engineering leadership
  • Proven success delivering multi-track programs with complex dependencies
  • Deep experience in ETL/ELT, data modeling, data quality and observability
  • Technical fluency to lead outcomes, not necessarily the sole architect
  • Strong Agile delivery experience and tooling (Jira/Confluence)
  • Excellent communication with both technical and non-technical audiences

Responsibilities

  • Own solutioning and engineering practice across multiple tracks with roadmap and milestones
  • Establish governance cadence: weekly status, risk reviews and steering updates
  • Drive delivery predictability with clear plans, measurable outcomes, and disciplined execution
  • Act as primary delivery interface for Directors, Tech Managers, Product teams and Engineers
  • Translate business priorities into actionable plans with acceptance criteria and release milestones
  • Communicate progress, tradeoffs, risks, mitigations and decisions; manage escalations

Skills

Airflow
Kafka
Databricks/Spark
Snowflake
Postgres
SQL (advanced)
Python
Agile delivery
Jira/Confluence

Tools

Airflow
Kafka
Databricks
Snowflake
Postgres

Job description

ITC Infotech is seeking a Senior Data Engineer to lead delivery across ingestion, streaming, transformation, and data product enablement in a fast-paced, multi-track program. You will drive governance, ensure production readiness, and collaborate with Directors, Tech Managers, and product teams to translate business priorities into actionable plans.

The role requires deep expertise in data engineering, SQL, Python, Snowflake, and Databricks, with strong experience in Airflow and Kafka.

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