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Solutions Architect - Strategic AI Natives - Databricks
Solutions Architect
Solutions Architect who partners with AI‑native customers to design, implement, and optimize data and ML solutions on a cloud‑based analytics platform, leveraging Spark, Python, and modern cloud services.
About the role
Key Responsibilities
- Collaborate with enterprise AI‑native customers to design end‑to‑end data and machine‑learning architectures on the platform.
- Develop proof‑of‑concepts, demos, and reference implementations that showcase best practices for data ingestion, processing, and model deployment.
- Provide technical guidance on cloud infrastructure (AWS/Azure), Spark workloads, and API integrations to ensure scalable, secure, and cost‑effective solutions.
- Partner with product and engineering teams to relay customer feedback, influence roadmap, and resolve technical challenges.
- Conduct workshops, webinars, and technical deep‑dives to educate stakeholders on platform capabilities and AI/ML workflows.
Requirements
- 5+ years of experience in data engineering, data science, or solutions architecture, with strong hands‑on expertise in Python, SQL, and Apache Spark.
- Proven track record designing and deploying machine‑learning pipelines on cloud platforms (AWS or Azure).
- Deep understanding of modern data architectures, APIs, and best practices for security, performance, and cost optimization.
- Excellent communication skills to translate complex technical concepts into business value for senior stakeholders.
- Experience working with large, AI‑focused enterprises and guiding them through digital transformation initiatives.
Skills
pythonapache sparksqlmachine learningaws