Назад
16 дней назад

Senior Specialist Solutions Engineer (Infrastructure & Platform)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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
Senior Specialist Solutions Engineer (Infrastructure & Platform) (Databricks/cloud infrastructure): Architecting and securing enterprise Databricks deployments across AWS, Azure, and GCP with an accent on cloud networking, identity management, infrastructure automation, and platform administration. Focus on designing scalable private-connectivity architectures, solving complex security and deployment challenges, and demonstrating custom solutions to enterprise customers.

Location: London, United Kingdom. Willingness to travel up to 30% as needed.

Company

Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, governance, and AI applications.

What you will do

  • Guide enterprise customers through the full lifecycle of Databricks deployments on AWS, Azure, or GCP, from architecture through production.
  • Design secure and scalable cloud environments covering networking, private connectivity, identity, encryption, and compliance.
  • Build and maintain infrastructure automation using Terraform and cloud-native infrastructure-as-code tools.
  • Support competitive technical engagements through custom-built solutions, workshops, and architecture demonstrations.
  • Collaborate with DSAs, SAs, FDEs, and partners on complex customer requirements.
  • Provide structured customer feedback to influence product direction and contribute to field-engineering thought leadership.

Requirements

  • 4+ years of experience in solutions architecture, technical pre-sales, or hands-on network architecture.
  • Strong expertise in cloud security, identity protocols, enterprise networking, private connectivity, platform administration, observability, and cost management.
  • Hands-on experience with infrastructure automation and IaC tools, including Terraform and relevant AWS, Azure, or GCP tooling.
  • Strong coding proficiency in Python and PySpark/Spark, including live coding, debugging, and solution building.
  • Knowledge of distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
  • Ability to lead architecture discussions with senior technical stakeholders and communicate complex designs as business value.

Nice to have

  • Databricks or professional-level AWS, Azure, or Google Cloud certifications.
  • Experience with Snowflake, cloud-native data services, Azure Synapse, or BigQuery.
  • Background in a data and AI company or cloud provider.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee's region.
  • Inclusive workplace focused on equal employment opportunity and diversity.
  • Opportunity to work with enterprise customers and contribute to technical communities and field-engineering content.

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