Data Team Lead (Vancouver, BC / Hybrid)

As a Data Team Lead, you will be responsible for leading a team of data engineers in designing,
developing, and maintaining data pipelines, ETL processes, and data infrastructure. You will work
closely with cross-functional teams to ensure the availability, quality, and reliability of data for
business analytics, reporting, and machine learning applications.

Responsibilities:
• Gathering and interpreting data from multiple sources to identify trends and patterns.
• Designing and developing data models and reporting systems that support business goals
• Document, implement and enforce best practices, development standards across the entire
analytics landscape.
• Manage a team of data engineers while still being hands on in our start up environment
• Creating and delivering reports, dashboards, and other visualizations of data to stakeholders
• Collaborating with teams across the organization to ensure data accuracy and completeness.
• Identifying opportunities for process improvements and implementing new reporting and
analytical tool.
• Translate data into actionable insights and recommendations for the organization.
• Build monitoring dashboards for stakeholders to better understand the health, performance,
and cost of the platform.
• Stay current with industry trends and emerging technologies related to data engineering and
the application of best practices.
• Communicate with stakeholders to ensure project goals are met and to provide regular
progress updates.

Qualifications:
• 5 to 7 years’ experience information technology
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Proven experience in data engineering, with a minimum of 4+ years of hands-on experience.
• Strong expertise in data modeling, ETL, and data warehousing.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data pipeline orchestration tools (e.g., Apache NiFi, Airflow).
• Knowledge of database systems (SQL, NoSQL) and big data technologies (Hadoop, Spark).
• Excellent leadership and project management skills.
• Strong problem-solving and communication abilities.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus

Please submit your resume, cover letter to [email protected]