Position 1: Senior Solution Architect
- Technical Delivery & Hands-on Engineering: Lead professional services projects, write production-grade code (Python/Scala), and optimize Spark workloads.
- Architecture & MLOps: Design reference architectures, CI/CD pipelines, and production deployments across cloud ecosystems.
- Strategic Advisory & Problem Solving: Act as trusted advisor, guide “Build vs. Buy” decisions, resolve escalations, and debug complex performance issues.
- Collaboration & Influence: Partner with Product Engineering, provide real-world feedback, and shape Databricks roadmap.
Position 2: Resident Solutions Architect
- Client Engagement: Act as primary technical advisor, embedding within strategic accounts to drive Databricks adoption.
- Architecture & Implementation: Bridge business requirements with technical delivery, ensuring scalable solutions.
- Strategic Guidance: Maximize client investment in data, analytics, and AI initiatives across cloud platforms.
- Internal Partnership: Serve as technical advisor internally, influencing platform success and customer outcomes.
Position 3: Senior Data Solutions Consultant
- Customer Leadership: Own engagements end-to-end, from discovery to delivery, ensuring accountability and success.
- Architecture & Optimization: Design, implement, and tune large-scale Spark/Databricks workloads for performance and cost efficiency.
- Technical Advocacy & Mentorship: Act as trusted advisor, champion best practices in PySpark, Databricks, and Lakehouse design.
- Cross-functional Collaboration: Partner with product/engineering teams, deliver PoCs/workshops, and enhance customer experience.