Lead Solutions Architect

🔥 8 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.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

• Lead and manage complex enterprise accounts with custom requirements from the first technical conversation through production • Deliver demos and pitches to budget holders and C-level stakeholders • Turn customer conversations into working prototypes using AI-assisted development • Mentor and develop Solutions Architects and Senior Solutions Architects with Field Engineering leadership • Build Databricks' technical presence in the DACH market through customer-facing collateral, workshops, meetups, and conference talks • Develop and roll out best practices and repeatable processes across the region • Establish close working relationships with internal subject-matter experts, product teams, and leadership

🎯 Requirements

• Fluent German and business-level English; both used daily with customers and internally • Substantial experience in technical pre-sales, including complex customer interactions across the full sales lifecycle • Ability to drive technical and business conversations with C-level executives, orchestrate cross-functional teams, and influence outcomes toward long-term customer success • Strong track record in the data landscape, with deep expertise in at least one of data engineering or data science • Hands-on coding ability in Python and SQL • Daily, fluent use of AI tools, including coding assistants and agents • Ability to assemble credible working prototypes with AI assistance and recognize where output needs personal judgment • Hands-on experience running complex proofs of concept on at least one major public cloud • Judgment to prioritize use cases and investments and navigate a competitive landscape

🏖️ Benefits

• Comprehensive benefits and perks; specific details depend on the employee's region • Inclusive culture and equal employment opportunity standards

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