Senior Solutions Architect – Data & AI

🕒 il y a 2 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Databricks

Databricks

1001 - 5000 employés

Fondée en 2013

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

💰 €1 600 000 000 Series H en 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks est une entreprise spécialisée dans les données et l'IA, offrant une plateforme unifiée pour l'ingénierie des données, l'apprentissage automatique et l'analytique. Elle se concentre sur l'optimisation du traitement des grandes données et aide les organisations à tirer parti d'Apache Spark pour offrir des analyses plus approfondies et des applications puissantes basées sur les données. Databricks propose également des outils robustes et une intégration transparente pour les opérations d'apprentissage automatique.

Description

• Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth • Own senior-level technical relationships and advise on enterprise data and AI strategy • Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale • Operate as an Expert on the Databricks Platform with a declared archetype, mentoring others and driving horizontal impact • Develop and execute competitive strategies positioning Databricks against incumbent and emerging platforms • Orchestrate cross-functional teams including DSAs, SSAs, Partners, and Product to deliver enterprise-grade solutions • Coach and develop junior Solutions Architects on technical depth, customer engagement, and use-case prioritisation • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

🎯 Exigences

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role • Expert-level coding proficiency in Python and SQL; ideally Spark/PySpark • Completion of a live coding assessment and platform build during the interview • Deep expertise in enterprise data architecture, including distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms • Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated rapid learning ability • Declared technical specialisation with recognised depth, such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions • Proven track record of driving consumption growth and platform adoption in large accounts • Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy • Experience leading competitive displacements and complex enterprise evaluations • Strong strategic thinking connecting technical architecture decisions to business outcomes and revenue impact • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Advanced degrees are valued • Nice to have: Databricks certifications; prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company; published thought leadership; Retail or Consumer Packaged Goods industry experience

🏖️ Avantages

• Comprehensive benefits and perks tailored to employees' regional needs (specific details linked in the posting)

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