Jobs at Sparq

Lead Salesforce business analysis across multiple programs: run discovery workshops, document current/future processes, write user stories and acceptance criteria, validate declarative solutions, support integrations/data migrations, lead UAT and deployment, evaluate Salesforce AI and Data Cloud use cases, and enable knowledge transfer for long-term support.

Lead and coordinate multi-team AI product development engagements across 90-day cycles. Manage cross-functional teams, scope, risks, dependencies, access approvals, CI/CD and release processes, run executive demo cadences, maintain program visibility, and drive alignment with client sponsors while championing practical AI tool adoption.

Lead end-to-end design, build, and operation of large-scale data pipelines on GCP/BigQuery, optimize data models and queries, integrate legacy SQL Server/SSRS systems, implement ETL/ELT and data quality frameworks, use intermediate Python for automation, and support BI/reporting with Power BI/Looker/Tableau while promoting AI tool adoption.

Design, implement, and maintain secure cloud solutions across AWS and Azure. Build policy-as-code, automation, logging, and monitoring; enforce governance and compliance using tools like AWS Config and Azure Policy. Partner with security and development teams, investigate misconfigurations, remediate issues, and recommend improvements. Champion AI tools (Claude) to streamline work and mentor teammates on best practices.