Solutions Architect – Media

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $152.3k - $209.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning • Build and deliver proofs-of-concept and live demos on the Databricks Platform • Own frontline technical relationships with customer engineers, data teams, and technical leads • Develop account-level technical strategies with the Account Executive to grow platform consumption • Articulate Databricks differentiation through hands-on demonstrations in competitive situations • Contribute reusable technical assets, including notebooks, solution accelerators, and reference architectures • Conduct discovery, whiteboarding, and architecture reviews with customers • Build and present a live solution during the interview process

🎯 Requirements

• 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting • Proficiency in Python and SQL; ability to debug, optimize, and write production-quality code • Live coding is a required interview stage • Hands-on experience designing and implementing data solutions on AWS, Azure, or GCP • Working knowledge of distributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or Flink • Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews • Familiarity with data engineering, data science/machine learning, or SQL analytics • Strong presentation and demo skills; live solution presentation required during interview • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certification or Databricks Platform experience is a plus • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow is a plus • Background at a data/AI company, cloud provider, or technical consulting firm is a plus

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks, with region-specific details provided by Databricks