Enterprise Data Architect

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Patch Tech Staffing
Eastern Ontario
CAD 125,000 - 150,000
Be among the first applicants.
Yesterday
Job description

Our client is hiring an Enterprise Data Architect to drive innovative data solutions for a leading company in the commercial real estate industry. This role is critical for driving data innovation and supporting analytics and AI initiatives.

Location: Hybrid – 4 Days Onsite in Toronto, ON (Flexible)

Employment Type: Full-Time

Responsibilities

  1. Design and implement scalable data models and architecture solutions.
  2. Lead data governance, security, and quality initiatives to ensure data integrity and compliance.
  3. Develop, optimize, and maintain data pipelines and cloud data platforms for high performance and cost-efficiency.
  4. Enhance data warehouses and data lakes using modern storage technologies to support AI and analytics projects.
  5. Collaborate with IT and business teams to deliver data-driven solutions aligned with enterprise goals.
  6. Advise solution architects on data designs and ensure consistency across systems.
  7. Continuously audit and refine data systems for security, performance, and scalability.

Skills & Qualifications:

  1. 7+ years in data architecture, modeling, governance, and quality.
  2. 7+ years in data integration, modeling, and backend services using APIs and stored procedures.
  3. 5+ years with Snowflake, Informatica IICS, AWS S3, and Informatica Data Quality.
  4. Strong SQL (10+ years) for data manipulation and performance tuning.
  5. Strong experience with data stack like Snowflake, Informatica IICS, and Informatica Axon and their data models.
  6. Proficiency in Python for data processing, scripting, and automation.
  7. Experience with Power BI, Tableau, and metadata/data lineage tools.
  8. Understanding of data-driven system integration (APIs, ETL, batch jobs).
  9. Knowledge of XML and JSON data formats.
  10. Exposure to Informatica Axon and enterprise data governance tools.
  11. Familiarity with cloud-based data storage and emerging technologies (Cloud, AI, Data Lakes).
  12. Architectural certifications (preferred but not required if you have relevant experience).
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