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Created January 15, 2025
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Enterprise Data Architect

Job Details

Talent Details

Pay Rate:
Salary Rate: Negotiable
Role:
Data And Database Administration
Skill:
Data Architect
Avail Positions:
1
Distance:
2
Shift Type:
Morning
OT Threshold:
Not Specified
Employment Type:
Direct, Hire
Availability Type:
Hybrid
Experience:
5+ years
Talent Preference:

Time and Place

Start:
05/02/2025
End:
Mon-Fri:
09:00-05:00
Weekends:
Not Specified

Job Specifics

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

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

Required Skills & Qualifications:

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