Data Enablement Lead for Cloud Data Platforms

PowerToFly; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading software company is looking for a Data Enablement Manager in Toronto to lead a team of data developers. Responsibilities include developing scalable data solutions, managing project timelines, and defining a vision for data engineering. The ideal candidate has 10 years experience, including 4 in leadership roles, and is proficient in SQL and Python. The position offers competitive compensation and comprehensive benefits. Ideal for those passionate about data and team development.

Benefits

Health/Dental/Vision/Life Insurance

Work-Life Balance

Paid volunteer time off

6 week paid sabbatical every 4 years

Employee Resource Groups

A 'week of rest' at year's end

Qualifications

• 10 years of experience in data engineering, with 4+ years in leadership.
• Success leading technical teams and delivering complex data engineering projects.
• Experience working with cloud data platforms and orchestration tools.
• Proficient in SQL, Python, and data modeling best practices.
• Experience building and maintaining large-scale batch and real-time data pipelines.

Responsibilities

• Lead and mentor a team of data developers for building data pipelines.
• Define the long-term vision for data engineering.
• Partner with teams to translate data needs into solutions.
• Establish standards for operational excellence.
• Drive the design of data models ensuring high data quality.

Skills

Data engineering leadership

Cloud data platforms (AWS, Snowflake)

SQL

Python

Big data processing frameworks (Spark, Hadoop)

ETL/ELT pipelines

Stakeholder management

Scalable architecture design

Education

Bachelor's degree in a relevant field

Tools

Airflow

Informatica

DBT

Job description

A leading software company is looking for a Data Enablement Manager in Toronto to lead a team of data developers. Responsibilities include developing scalable data solutions, managing project timelines, and defining a vision for data engineering. The ideal candidate has 10 years experience, including 4 in leadership roles, and is proficient in SQL and Python. The position offers competitive compensation and comprehensive benefits. Ideal for those passionate about data and team development.