Databricks предлагает четко описанную senior-роль в сильной продуктовой компании из сферы Data + AI, но широкий инфраструктурный охват, поездки до 30% и неуказанная зарплата оставляют важные условия неясными.
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Широкий охватЧастые поездкиЗарплата не указанаСовременный стекСфера Data + AIСильная компания
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Senior Specialist Solutions Architect (SSA - Cloud Infrastructure) (Databricks/cloud infrastructure): Guiding enterprise customers through secure, scalable Databricks deployments across AWS, Azure, and GCP with an accent on cloud networking, identity management, infrastructure automation, and platform administration. Focus on designing distributed data platforms, solving complex security and connectivity challenges, and leading architecture discussions with senior technical stakeholders.
Location: London, United Kingdom
Company
Databricks provides a unified Data + AI Platform for building and scaling data, analytics, and AI applications.
What you will do
Guide enterprise customers through the full lifecycle of Databricks deployments on AWS, Azure, or GCP.
Advise on infrastructure-as-code, platform administration, high availability, disaster recovery, observability, and cloud cost management.
Demonstrate custom-built solutions and position Databricks in competitive customer scenarios.
Coordinate specialists, field engineering, partners, and other cross-functional resources to deliver complex solutions.
Provide customer feedback to influence product direction and coach other team members.
Requirements
8+ years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical role.
Advanced expertise in cloud security, identity, enterprise networking, private connectivity, platform administration, and large-scale deployments.
Hands-on infrastructure automation experience with Terraform and cloud-native tools such as CloudFormation, CDK, Azure Resource Manager, Bicep, or Google Cloud Deployment Manager.
Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
Deep knowledge of distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
Proficiency in Databricks, strong communication skills, and the ability to lead architecture discussions with technical and executive stakeholders.
Nice to have
Databricks or professional-level AWS, Azure, or Google Cloud certifications.
Experience with Snowflake, Azure Synapse, BigQuery, or other competitive data platforms.
Background in a data/AI company or cloud provider.
Culture & Benefits
Comprehensive employee benefits and perks tailored to the employee's region.
Inclusive workplace with equal employment opportunity standards.
Willingness to travel up to 30% as needed.
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