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Key job responsibilities
- Drive adoption of GenAI technologies (LLMs, AI agents) while maintaining robust data engineering practices
- Partner with leadership to identify opportunities for AI integration in existing data products
- Build secure, scalable, and cost-effective solutions using modern data infrastructure and AI capabilities
- Establish best practices for responsible AI development while ensuring data governance- Champion innovation while maintaining operational excellence
- Influence strategic planning and technology roadmap decisionsA day in the lifeInclusive Team CultureWork/Life BalanceThis position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.
Mentorship & Career Growth
- Bachelor’s degree in Computer Science, Engineering, Mathematics or IT related technical discipline,
- 10+ Years Experience in management of mid to large-sized teams
- 15+ years of experience with detailed knowledge of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding.
- 8+ years of large IT project delivery for BI oriented projects.
- 8+ years of working with very large data warehousing environment
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