Senior Solutions Engineer – Digital Native Business

🔥 13 hours ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌲 Oregon – Remote ☕ Washington – Remote

💵 $152.3k - $209.4k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Independently lead customer technical engagements, owning discovery, solution design, and platform demonstrations

🎯 Requirements

• 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role • Proficient 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 at least one public cloud platform (AWS, Azure, or GCP) • Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) • Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews • Familiarity with data engineering, data science/ML, or SQL analytics • Strong presentation and demo skills • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certification or Databricks Platform experience is nice to have • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow is nice to have • Background at a data/AI company, cloud provider, or technical consulting firm is nice to have

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks (specific regional details provided via employer benefits documentation)