Senior Data Architect - Empower Product Development Team

Please note:  Although this is a Remote / Virtual / Work-From-Home career opportunity, candidates MUST reside, and be authorized to work without sponsorship, in Canada.

This is a full-time role in our New Product organization for professionals with a proven history of execution, and a desire to rapidly expand a product organization.  Our team is seeking a Senior Data Architect, with a strong background in data definition, modeling, and implementation.  

This is a hands-on architect role where the individual will be responsible for the overall design of solutions within the data ecosystem serving our customers. This role will require someone who is experienced in designing data schemas using Kimball/Dimensional modeling and pipelines in Databricks for data warehouses/lakehouses and reporting systems, is able to evaluate multiple technologies and technical solutions, and be a hands-on contributor for engineering goals for multiple engineering teams. Additionally, as a technical leader within the team, you will mentor and coach your team members; therefore, top candidates have experience as either a team lead or manager. 

Responsibilities

• Scope and execute with independence. Work with the product team to understand platform capabilities and leverage those capabilities to bring customer’s data estate. 
• Identify and articulate technical and operational requirements for data pipelines and the models they populate; be able to optimize these pipelines for high performance/resiliency workloads. 
• Instill excellence into the processes, methodologies, standards and technology choices embraced by the team with customer teams, and junior staff. 
• Lead requirements discovery and delivery workshops – helping customers understand their options and guiding them to the best options. 
• Be an advocate for the customer, and support delivery leadership (Director, VPs) in managing client expectations. 
• Dedicate time to continuous learning to keep the team and customers appraised of the latest developments in the space.
• A committed teacher and someone who enjoys developing technical maturity across the company. 
• Experience supporting analytics, data science and/or engineering teams and understand their unique needs and challenges.

• 8+ overall years of professional experience including 4+ years’ experience in designing high-scale, Big Data, Datalakehouse Solutions is REQUIRED 
• 4+ years of experience with data modeling (Kimball/Dimensional modeling), schema design patterns and modern data access patterns (including API, streams, data lake) is REQUIRED
• 2+ years as a proven leader interacting with customers (client facing) to collect requirements and manage a technical data backlog is REQUIRED; therefore you must have excellent interpersonal skills, both written and spoken, as well as a consultative/collaborative style.
• 2+ years with Databricks and Spark framework are REQUIRED
• 2+ years of experience building data applications, microservices and/or APIs using Python, Scala or an equivalent language is REQUIRED
• 2+ years of experience with SQL, knowledgeable in complex queries and joins is REQUIRED; experience with UDF and/or Stored Procedure development is HIGHLY DESIRED
• 2+ years Azure Data Services including Azure Data Factory, ADLS, and Synapse is HIGHLY DESIRED; strong experience with AWS or other major cloud platform will be considered in lieu of Azure.