2 дня назад
Specialist Solutions Architect (SSA) (Cloud Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Specialist Solutions Architect (SSA) (Cloud Infrastructure) (AWS/Azure/GCP, Databricks): Guiding enterprise customers through secure, scalable Databricks deployments across cloud infrastructure, networking, identity, and platform administration with an accent on infrastructure automation, distributed data systems, and cloud security. Focus on designing private and highly available cloud architectures, solving complex networking and identity challenges, and leading technical adoption with senior stakeholders.
Location: London, United Kingdom
Company
Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI applications.
What you will do
- Guide enterprise customers through the full lifecycle of Databricks deployments on AWS, Azure, or GCP.
- Design secure, scalable architectures covering cloud networking, private connectivity, identity, compliance, and production deployment.
- Advise on cloud infrastructure, infrastructure-as-code, platform administration, observability, disaster recovery, and cost management.
- Demonstrate Databricks solutions in competitive scenarios and build custom technical solutions.
- Coordinate DSAs, SAs, Field Engineering, and partners to deliver complex customer solutions.
- Provide customer feedback, coach team members, and contribute to technical content, workshops, and community engagement.
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 IaC tools.
- 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 with the Databricks Platform, strong architecture communication skills, and a Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline.
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 benefits and perks, with details varying by region.
- Inclusive hiring practices and a diverse workplace culture.
- Willingness to travel up to 30% as needed.
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