NavitasPartners - 58 Jobs
Windsor, ON
Posted today
Job Details:
Full-time
Experienced
Job Title: Enterprise Data Architect (BFSI)
Position Overview:
The Enterprise Data Architect will define strategic data architecture roadmaps and design scalable data ecosystems for financial institutions.
Key Responsibilities:
- Design enterprise data architecture frameworks.
- Develop data models supporting banking and insurance platforms.
- Define cloud data architecture standards.
- Lead modernization initiatives from legacy platforms.
- Establish data integration and interoperability standards.
- Support enterprise AI and analytics initiatives.
Required Skills:
- Enterprise Data Architecture
- Data Modeling
- Cloud Architecture
- Snowflake
- Databricks
- Azure/AWS/GCP
- Data Lakes
- Data Warehousing
- Integration Architecture
Required Qualifications:
- Bachelor's degree in Computer Science or related discipline.
- 10+ years of data architecture experience.
Mandatory Industry Experience:
- Must have prior BFSI experience designing enterprise data platforms supporting core banking, lending, insurance, payments, wealth management, risk, or compliance systems.
For more details reach at [email protected]
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Frequently Asked Questions
The job requires 10+ years of data architecture experience and a bachelor's degree in Computer Science or a related discipline.
This is a full-time position located in Windsor, ON.
Experience with Snowflake, Databricks, Azure/AWS/GCP, Data Lakes, Data Warehousing, and Integration Architecture is required.
Responsibilities include designing enterprise data architecture frameworks, developing data models for banking and insurance platforms, defining cloud data architecture standards, leading modernization from legacy systems, establishing data integration standards, and supporting AI and analytics initiatives.
Yes, prior BFSI experience designing enterprise data platforms supporting core banking, lending, insurance, payments, wealth management, risk, or compliance systems is mandatory.
The role emphasizes enterprise data architecture, data modeling, cloud architecture, and integration architecture to support data lakes and data warehousing.
Interested candidates can reach resumes to [email protected] for more details.
