Delivery Solutions Architect

Databricks

2 months ago

4.1 on Glassdoor

Mountain View, California

Hybrid

Full Time

Senior

4 applicants

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About this role

A post-sales technical lead at Databricks focused on partnering with strategic customers to accelerate adoption of the Databricks Data Intelligence Platform for data and AI workloads. The role anchors post-win technical strategy, collaborates across internal teams, and acts as the primary technical contact for complex, production-grade deployments. It requires strong customer-facing credibility across technical and executive stakeholders to ensure successful outcomes.

Skills

Qualifications

Master's Degree in Computer Science or Related FieldBachelor's Degree in Computer Science or Related Field

About Databricks

databricks.com

Databricks is a unified Data Intelligence Platform that helps organizations build, deploy, and manage data, analytics, and AI at scale. Built on Apache Spark and Delta Lake, it provides a “lakehouse” architecture that combines data engineering, ETL, data warehousing, streaming, and machine learning (including MLflow and feature store) in a single managed service. The platform includes collaborative notebooks, scalable compute across major clouds, and built‑in governance, security, and performance optimizations. Enterprises use Databricks to simplify data pipelines, accelerate model development with a data‑centric approach, and operationalize analytics and AI.