Quick overview
Job description
Databricks
REMOTE roles
Databricks ,Minimum 5 years of experience as an Architect is a MUST
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.
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