Влиятельная роль в топовой AI и Data компании с очень четким скоупом и современным стеком, хотя зарплата немного ниже медианы рынка для этого уровня.
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Текст:
Hirify AI/Оригинал
TL;DR
Specialist Solutions Architect (AWS Cloud Infrastructure & Platform): 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 architectures, building IaC solutions, leading technical design discussions, and solving complex security and deployment challenges.
Location: Remote within the United States
Salary: $180,000–$247,500 USD annually, with potential bonus, equity, and benefits.
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, from architecture and administration to production rollout.
Design secure, scalable deployments using AWS networking, identity, encryption, compliance, and security controls.
Build infrastructure automation solutions with infrastructure-as-code tools and support complex AWS environments.
Demonstrate Databricks solutions in competitive technical engagements and drive platform adoption.
Coordinate solution delivery across specialists, partners, and cross-functional teams.
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 infrastructure, enterprise networking, identity management, platform administration, security, observability, disaster recovery, and cost management.
Hands-on experience with infrastructure-as-code tools such as 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.
Ability to lead architecture discussions with senior stakeholders; willingness to travel up to 30%.
Nice to have
Databricks or AWS certifications.
Experience with Snowflake, AWS native services, or Azure Synapse.
Background in a data and AI company or cloud provider.
Culture & Benefits
Remote work within the United States.
Comprehensive benefits and region-specific employee perks.
Potential annual performance bonus and equity.
Inclusive workplace committed to equal employment opportunity.
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