Specialist Solutions Architect - Cloud Infrastructure & Platform (Azure) (Azure/Databricks): Guiding enterprise customers through secure, scalable Databricks deployments on Azure with an accent on cloud networking, identity management, infrastructure automation, and distributed data systems. Focus on designing high-availability platforms, building infrastructure-as-code solutions, solving complex security and deployment challenges, and leading architecture discussions with senior stakeholders.
Location: United States; remote work is available
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 Microsoft Azure, from architecture design to production.
Design secure, scalable deployments using Azure networking, identity, security, and compliance controls.
Advise on platform administration, infrastructure automation, observability, high availability, disaster recovery, and cost management.
Develop custom technical solutions and demonstrate Databricks differentiation in competitive scenarios.
Coordinate DSAs, SAs, SSAs, and partners to deliver complex customer solutions.
Provide structured customer and competitive 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 Azure security, identity, enterprise networking, platform administration, and infrastructure automation.
Hands-on experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM.
Strong coding proficiency in Python and SQL, 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; willingness to travel up to 30%.
Nice to have
Databricks or Microsoft Azure certifications.
Experience with Snowflake, AWS native services, or Azure Synapse.
Background in a data/AI company or cloud provider.
Culture & Benefits
Comprehensive benefits and perks tailored to the employee’s region.
Potential annual performance bonus and equity.
Inclusive workplace with equal employment opportunity practices.
Work with a global Data and AI platform used by organizations worldwide.
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