Назад
10 дней назад

Solutions Architect (Media, Entertainment and Agencies)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Solutions Architect (Media, Entertainment and Agencies) (Data and AI): Leading technical strategy and designing production-grade solutions across data engineering, ML/AI, real-time analytics, and cloud-native data platforms with an accent on scalable distributed architectures and platform adoption. Focus on architecting lakehouse and streaming solutions, solving complex technical trade-offs, and building custom solutions for competitive customer engagements.

Location: London, United Kingdom

Company

Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.

What you will do

  • Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
  • Lead architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, real-time analytics, and cloud-native platforms.
  • Advise customer architects, engineering leads, and directors on technical strategy and platform adoption.
  • Demonstrate Databricks differentiation through custom-built solutions in competitive engagements.
  • Develop a technical specialisation in an area such as streaming, ML/AI, data governance, or migrations.
  • Coordinate DSAs, SSAs, and partners while providing structured feedback on customer requirements and competitive gaps.

Requirements

  • 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
  • Strong Python and SQL coding skills, including live coding, debugging, and solution building.
  • Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
  • Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance.
  • Ability to lead whiteboarding sessions, design reviews, and trade-off analysis with senior technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

  • Databricks certifications in data engineering, ML, or the platform.
  • Experience with Snowflake, AWS native services, or Azure Synapse.
  • Background in a data/AI company or cloud provider.
  • Industry expertise in media, entertainment, or agencies.

Culture & Benefits

  • Comprehensive benefits and perks are offered according to the employee’s region.
  • Inclusive hiring practices and a diverse workplace are supported.

Hiring process

  • Recruiter screen and hiring manager screen.
  • Design and architecture interview followed by a live coding assessment.
  • Build, Demo, Pitch! presentation and reference check.

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