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Director Data Architecture

Toronto, ON

Hybrid

Full Time

$170k - $180k

We are a research enablement platform designed to advance understanding and empower decision making for companies across the globe. What we are looking for is a Director of Data Architecture. What you’ll be doing is architecting and building a Data Lake and Data Warehouse, with a team of Data engineers. The skillsets we’re looking for are someone who has done something like this before, someone who is still hands on with solution architecture, someone who has led or even mentored a team of engineers for 1-2 years and experience with Databricks and Azure. 
In this role you will be a pivotal piece of our Data team and we need someone who is not afraid to speak up, offer their opinions and have the confidence to communicate across departments, to executives and stakeholders.
This is a unique opportunity to work in the Data field at a high level and influence the direction of our data environment with your thought leadership and expertise.
If you are ready for the challenge, then don’t hesitate to apply! Required Skills & Experience
  • 7+ years of professional experience working within the Data eng field
  • Experience with Databricks
  • Experience mentoring engineers
  • Recent experience being hands on with solution architecture particularly
  • Experience architecting a data lake and data warehouse
  • Experience working with multiple departments, groups and executives
  • Exceptional communication skills
Desired Skills & Experience
  • Experience working with Azure
What You Will Be Doing Tech Breakdown
  • 60-70% Solution Architecture
  • 30-40% Managing, Data strategy and Leadership
  • Note: This will likely move more towards leadership and management throughout the year, but initially it will be much more hands on
Daily Responsibilities
  • 100% Solution Architecture, Strategy and Leadership
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.

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Posted by: Seif Tadros

Specialization: Data Engineering

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