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FiservVerified Job Source

Infrastructure Architect

Lead the design, optimization, and migration of database systems and ETL pipelines to support enterprise data warehousing. Provide technical leadership and people management to a team of data engineers while ensuring platform stability and security.

  • On-site
  • Toronto, ON
  • Posted Jul 22, 2026
  • Apply by Aug 21, 2026
  • 1 position

Job summary

About your role: As an Infrastructure Architecture - Sr Professional I, you will play a vital role in developing and implementing infrastructure strategies that align with Fiserv's business objectives. Your expertise will contribute to the robustness, scalability, and security of our infrastructure systems. You will collaborate with cross-functional teams to design and deploy architecture solutions that meet the evolving needs of the financial services industry. Responsibilities and Duties · Lead and support MySQL database design and optimization to enable platform growth and scalability. · Drive schema design and improvements, balancing tactical needs with long-term architectural strategy to support. · Enterprise data warehouse · Operational data consumers · Collaborate closely with application and feature development teams to optimize database schemas and SQL queries prior to production releases. · Own and support ETL pipelines and Data Lake management to ensure reliable and efficient data ingestion and processing. · Contribute to and support database migration initiatives, including migrations from MySQL to PostgreSQL (strongly preferred). · Support and enhance ETL ingestion scripts, with Python experience considered a strong asset. · Proactively identify opportunities to improve platform stability, performance, and data resiliency. · Analyze system incidents, perform root cause analysis, and manage recovery efforts to ensure rapid restoration of services without data loss. · Provide technical leadership and people management, including mentoring and managing a small team of data engineers. · Maintain a high level of attention to detail, ensuring data quality and operational excellence in daily activities. Qualifications and Skills · Diploma / Degree in Computer Science, Software Engineering or similar · 3+ years of relevant work experience in data engineering or database-focused roles. · Demonstrated experience in one or more of the following areas: o Database administration o Data engineering o ETL data loading and ingestion o Data classification and normalization o SQL performance tuning and schema optimization · Experience with database security hardening and implementing best practices, including collaboration with cross-functional teams to promote zero-trust and secure data access. · Familiarity with AWS services, including Glue, Lambda, Redshift, DMS and EKS (Kubernetes). · Familiarity with Snowflake and Data Streaming services (MSK, Kafka, Confluent). · Experience with Linux system administration, web servers, and networking is an asset. · Strong analytical and problem-solving skills, with a proactive mindset for improving systems and processes. · A deep curiosity and passion for learning, staying current with technical trends, and recommending appropriate tools and approaches. · Excellent communication skills, with the ability to clearly explain technical concepts and collaborate effectively across business and technical teams.

What you’ll do

Lead the design, optimization, and migration of database systems and ETL pipelines to support enterprise data warehousing. Provide technical leadership and people management to a team of data engineers while ensuring platform stability and security.

Requirements

Requires a degree in Computer Science or a related field and at least 3 years of experience in data engineering or database roles. Candidates should have expertise in SQL, schema optimization, and familiarity with AWS services and data streaming technologies.

Listed skills

  • PostgreSQLPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • MySQL
  • PostgreSQL
  • Data Engineering
  • ETL
  • Database Design
  • SQL Performance Tuning
  • Python
  • AWS Glue
  • AWS Lambda
  • AWS Redshift
  • AWS DMS
  • AWS EKS
  • Kubernetes
  • Snowflake
  • Kafka
  • Linux Administration

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Management & Leadership

Additional details

Minimum education
Bachelor’s degree
Minimum experience
3+ years
Apply by
Aug 21, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available