FinSANA is a global fintech company that specializes in catering to underserved and underbanked consumers. Our organization has a passion for helping people financially through our technology solutions which has allowed us to serve millions of consumers globally.

Headquartered in Montreal, Canada with offices in the United States and Latin America, we encourage personal and professional growth in equal measures. To create the best possible experience for our employees, we continuously invest in our teams and provide opportunities for growth.

We are seeking an experienced Data Architect to join our innovative global fintech company specializing in consumer lending. The ideal candidate will play a pivotal role in designing and implementing a unified data architecture to support our loan management platforms and various data sources across our global operations.

DUTIES & RESPONSIBILITIES:

• Design and develop a comprehensive data architecture strategy for our unified loan management platform.
• Create and maintain data models, schemas, and data flows to support our global operations.
• Integrate diverse data sources, including Google Analytics, call center suites, and third-party lead management systems.
• Implement data governance policies and ensure data quality across all systems.
• Collaborate with business leaders and stakeholders (including data scientists, analysts, and IT teams) to identify data opportunities, understand data needs, and align architecture with business requirements.
• Evaluate and recommend appropriate data management tools and technologies.
• Oversee the design of data acquisition, integration, transformation, and quality processes.
• Develop data ontologies and knowledge graphs to support advanced analytics initiatives.
• Guide the implementation of data fabric and data mesh architectures as needed.
• Monitor and optimize data performance, ensuring efficient data processing and retrieval.
• Develop comprehensive documentation for data architecture, processes, and policies to support ongoing development and maintenance.

REQUIREMENTS:

• Master's or Bachelor's degree in Computer Science, Information Systems, Information Technology, or a related field
• Minimum of 7-8 years of experience in data architecture, data engineering, or a related role, with a focus on financial services and loan management systems
• Strong understanding of data modeling techniques and experience with both relational (SQL) and NoSQL databases
• Expertise in ETL processes, data pipeline development, and data integration tools and platforms (e.g., Talend, Informatica)
• Proficiency in cloud platforms (AWS, Azure, or Google Cloud)
• Experience with big data technologies (Hadoop ecosystem, Spark, Kafka)
• Knowledge of data governance principles and best practices, including data quality
• Excellent communication, presentation, and interpersonal skills, with the ability to translate complex technical concepts to non-technical stakeholders.
• Strong problem-solving abilities and attention to detail
• Ability to work collaboratively in a fast-paced, agile environment.
• Knowledge of regulatory requirements in the financial services industry
• Proven experience in integrating diverse data sources, including Google Analytics and call center data.
• Experience with data visualization tools and business intelligence platforms.

Why work with us?

• Competitive salary and yearly salary/performance revision
  
• Paid personal/sick days + vacation time
  
• Health, Dental, Life Insurance accessibility
• Work-life balance, family centered values
• Stable hours (Day shifts, 9-5pm)
• Casual dress code
• Beverages and snacks
• Employee Referral Program
• RRSP Matching program