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Solutions Architect (Media, Entertainment and Agencies) x2

Databricks · London

New
Senior 🇬🇧 English
Python SQL Databricks AWS Azure GCP Lakehouse Streaming

Job description

About the role

Databricks is hiring two new Solutions Architects for its Media, Entertainment and Agencies practice in London. You will lead the technical strategy for your customers, own architecture discussions, drive platform adoption and act as a trusted advisor to customer technical leads and architects. You will develop a technical specialisation (archetype) and become a go-to resource for your team in that domain.

Key responsibilities

  • Own the end-to-end technical strategy for accounts, from discovery through production deployment and consumption growth
  • Lead complex architecture discussions covering data engineering, ML/AI and real-time analytics
  • Serve as a trusted technical advisor to customer architects, engineering leads and Directors
  • Win competitive scenarios by showing Databricks' differentiation through custom-built solutions
  • Develop and declare an emerging technical specialisation
  • Orchestrate DSAs, SSAs and partners to deliver comprehensive solutions
  • Influence product direction with structured feedback on customer requirements and competitive gaps

Required profile

  • 6+ years in solutions architecture, data engineering, technical pre-sales or a senior hands-on technical role
  • Bachelor's or Master's degree in Computer Science, Engineering or a quantitative discipline (or equivalent experience)
  • Proven track record of driving platform adoption and consumption growth
  • Nice to have: background in a data/AI company or cloud provider, and industry domain expertise in Media, Entertainment and Agencies

Required skills

  • Strong coding in Python and SQL, with live coding, debugging and solution-building
  • Expertise in distributed data systems: scalable pipelines, streaming architectures, lakehouse patterns and cloud-native data platforms
  • Proficiency on the Databricks Platform (or rapid ability to reach it), with a developing specialisation (e.g. streaming, ML/AI, data governance, migrations)
  • Production deployments on AWS, Azure or GCP, including infrastructure, security and governance
  • Leading architecture discussions with senior stakeholders, including whiteboarding, design reviews and trade-off analysis
  • Excellent communication, translating complex architectures into business value for technical and executive audiences

Questions fréquentes

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Source : ats:greenhouse

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Published 1 day ago

Expires 1 month from now

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Databricks

London