9 дней назад
Specialist Solutions Architect (AWS Infrastructure & Platform)
180 000 - 247 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Specialist Solutions Architect (AWS Infrastructure & Platform) (Databricks/AWS): Guiding enterprise customers through secure, scalable Databricks deployments on AWS with an accent on cloud networking, identity management, infrastructure automation, and distributed data systems. Focus on designing production-ready architectures, building IaC solutions, leading technical trade-off discussions, and solving complex platform security and deployment challenges.
Location: United States; remote work available. Willingness to travel up to 30% as needed.
Salary: $180,000–$247,500 USD annually, plus potential bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform for organizations worldwide, including products for lakehouse analytics, data engineering, AI applications, governance, and agents.
What you will do
- Advise enterprise customers across the full lifecycle of Databricks deployments on AWS, from architecture through production.
- Design secure, scalable deployments covering AWS networking, identity, compliance, and platform administration.
- Build custom solutions and demonstrate Databricks differentiation in competitive technical evaluations.
- Coordinate DSAs, SAs, SSAs, and partners to deliver solutions for complex customer requirements.
- Provide structured customer feedback to influence product direction.
Requirements
- 6+ years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical role.
- Advanced expertise in AWS security, IAM, identity protocols, enterprise networking, PrivateLink, deployment management, observability, and cost management.
- Hands-on infrastructure automation experience with Terraform, AWS CloudFormation, or AWS CDK.
- Strong Python and SQL skills, including live coding, debugging, and solution building.
- Experience designing distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience; strong communication and architecture leadership skills.
Nice to have
- Databricks or AWS certifications.
- Experience with Snowflake, AWS native services, or Azure Synapse.
- Background in a data, AI, or cloud provider organization.
Culture & Benefits
- Comprehensive benefits and perks, varying by region.
- Potential annual performance bonus and equity eligibility.
- Inclusive workplace committed to equal employment opportunity.
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