· 5 very large (300TB+) DB2 LUW DPF clusters per environment
· Multiple OLTP databases
· All on-premises
Roles & Responsibilities
Database Operations & Tuning
· Performance monitoring and tuning across DPF clusters
· Data purging strategy design and execution
· Space reclamation strategy for very large tables post-purge
· Backup, recovery, upgrade, and DR planning
Data Migration & Archival
· Snowflake database administration
· On-premises to Snowflake data migration
· DB2 → Snowflake and Greenplum archive → Snowflake migrations for very large datasets
· Continuous data archival pipeline: DB2 LUW → Snowflake via in-house SparkSQL-based tooling, maintaining a 30-minute data availability interval
Tools & Job Scheduling
· JIRA, Bitbucket, and Git for day-to-day work
· Autosys — manages 700+ scheduled jobs per workplace
Required Skills
· Strong Python and Shell scripting — automation is core to the role, not optional
· Working knowledge of JIRA, Bitbucket, Git, and Autosys
· AI-assisted development knowledge (VS Code, Copilot) — a plus
Work Management
· No fixed daily/weekly/monthly schedule — work is managed via Kanban
· Recurring ticket types (purge requests, migration tasks, performance/incident issues, ad-hoc regulatory asks) drive day-to-day priorities rather than a fixed calendar
Support Model
· Not a 24x7 role
· On-call rotation: one week every 2-3 months
· On-call coverage also requires basic Sybase database monitoring knowledge, in addition to core DB2 skills.
Judgment, Autonomy & Escalation
· This role requires independent judgment to define and act on these based on evolving regulatory needs
· The role is largely self-directed — a successful candidate should be comfortable operating with ambiguity and taking ownership without a fixed playbook
📌 DBA (Mississauga)
🏢 Experis
📍 Mississauga
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