Sr. Solutions Architect - Automotive

Meyandy LLC

München

Vor Ort

EUR 120.000 - 180.000

Vollzeit

vor 46 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Meyandy LLC in Munich seeks a Sr. Solutions Architect to lead the most complex customer engagements on the Databricks platform, shaping consumption strategy and executive-level engagement.

You will drive platform adoption, coordinate cross-functional teams, and mentor junior SAs, delivering enterprise-grade architectures across real-time data and AI workloads. Travel weekly; English and German proficiency preferred.

Qualifikationen

  • 8+ years in solutions architecture or similar senior customer-facing roles.
  • Expert-level coding in Python, SQL, Spark/PySpark; live assessment during interview.
  • Deep enterprise data architecture knowledge and cloud-native platforms.

Aufgaben

  • Drive technical and consumption strategy for the most complex engagements.
  • Own senior-level technical relationships and serve as trusted advisor on data/AI strategy.
  • Lead complex architecture engagements across multi-workload platforms and migrations.
  • Mentor junior SAs and contribute to field engineering content.
  • Coordinate cross-functional teams to deliver enterprise-grade solutions.

Kenntnisse

Python
SQL
Spark PySpark
Databricks Platform

Ausbildung

Bachelor's or Master's in Computer Science, Engineering, or a quantitative discipline

Tools

Databricks Platform certification

Jobbeschreibung

FEQ327R414

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

The Impact You Will Have
  • Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
  • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy
  • Lead the most complex architecture engagements: 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 — actively mentoring others and driving horizontal impact across your team
  • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms
  • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions
  • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization
  • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement
What We Look For
  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
  • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview
  • Deep expertise in enterprise data architecture: 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 specialization with recognized depth — e.g., 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
  • Executive presence — 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
  • Ability to travel on a weekly basis
Nice to Have:
  • Full professional proficiency in English and German
  • Automotive industry expertise with executive-level domain credibility
  • Databricks certifications
  • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
  • Published thought leadership (blogs, conference talks, open source contributions)
About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platfor… Sr. Solutions Architect - Automotive — databricks, Munich. Cette offre d'emploi a été agrégée automatiquement depuis arbeitnow. Pour accéder à la description complète du poste, aux missions détaillées, aux compétences précises attendues et à la procédure de candidature, cliquez sur le bouton Postuler sur arbeitnow dans la barre latérale. Vous serez redirigé vers la fiche d'origine. Mots-clés : Field Engineering - Other.

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