Job Description
Description
WE’RE HIRING!
At HTG, you’ll push boundaries with the latest tech and collaborate with a team that loves what they do. Be part of a design services company that is amongst the companies that lead the world in technology and innovation.
Your next chapter starts here.
We’re looking for a Senior Data Analyst to join our Enterprise Data Operations (EDC) – Data Delivery Enablement team. If you love solving complex data problems, building trusted data models, and working across business and technical teams, this role gives you the platform to make a real impact.
In this role, you will:
Lead the design of conceptual, logical, and physical data models
Map and validate data lineage and source‑to‑target flows
Define transformation logic and create ETL specifications
Work hands‑on within the Azure + Databricks ecosystem
Translate business requirements into clear technical user stories
Identify data gaps and quality issues, and help drive solutions
Support data governance through standards, metadata, and documentation
Facilitate workshops and alignment sessions with business and technical partners
Communicate complex data concepts in simple, clear language
Produce high‑quality documentation that supports delivery and sign‑off
Requirements
Bachelor’s degree
7+ years as a Data Analyst
Experience in at least one domain: Risk, Finance, or CRM
2+ years with one of: Moody’s CreditLens, an ERP platform, or Salesforce
2+ years of hands‑on Databricks experience (Mandatory)
Strong data modelling skills (conceptual, logical, physical)
Deep understanding of data lineage and source‑to‑target mapping
Advanced SQL
Experience with ETL design and data pipelines
Azure Data Platform (ADF, Synapse, SQL, storage patterns)
High Tech Genesis Inc. is an Equal Opportunity Employer committed to building inclusive teams where diverse perspectives drive innovation.
We support an accessible recruitment process and are happy to provide accommodation upon request.
Applicants must be legally authorized to work in Canada, and resumes should be submitted in Microsoft Word format.
