Jobs at Sparq

Design, build, and migrate large-scale batch data pipelines into Databricks. Develop and optimize production-grade Python/Spark/SQL solutions, support parallel legacy and cloud systems during migration, lead technical design discussions, use AI tools to improve workflows, ensure pipeline reliability through testing/monitoring/tuning, and participate in a rotating on-call schedule.

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.

Fractional (≈20 hrs/week) role owning Sparq's corporate LinkedIn, driving community outreach and engagement, tracking performance, and writing SEO- and AI-optimized content (blogs, case studies, web copy). Develop GEO/AEO-ready content structures, partner on keyword research and briefs, leverage AI tools to streamline workflows, and recommend search/AI visibility strategies.

Lead Sparq's internal AI-native Shop by owning weekly delivery cadence, onboarding and forming teams, coaching consulting mindset, giving actionable demo feedback, removing blockers, and serving as operational point of contact to improve prototypes and tooling adoption.