Specialist Solutions Architect - Cloud Platform & Infrastructure (Azure)
New
D
Databricks, Inc.Cloud Infrastructure
United StatesFull-TimeSenior
Salary$180,000 — $247,500 USD
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Job Details
- Experience
- 5+ years in a technical role; 2+ years with distributed architectures and big data; 2+ years in customer-facing roles.
- Required Skills
- PythonSQLHadoopJavaKafkaMicrosoft AzureSparkTerraformScala
Requirements
- 5+ years of hands-on experience in a technical role with deep expertise in Microsoft Azure.
- 2+ years of professional experience with distributed architectures and big data technologies (e.g., Apache Spark, Hadoop, Kafka).
- 2+ years of experience in a customer-facing technical role (Pre-Sales, Post-Sales, or Consulting).
- Deep specialized expertise in Security & Identity, Networking & Deployments, Platform Administration, or Infrastructure Automation.
- Hands-on automation experience using IaC tools (e.g., Terraform, Bicep, ARM).
- Hands-on experience with Python, Java, or Scala, alongside strong proficiency in SQL.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience.
- Ability to hit role-specific training and technical delivery milestones within the first 6 months.
- Willingness to travel up to 30% as needed.
Responsibilities
- Guide strategic customers through the full lifecycle of Databricks on Azure platform administration from initial architectural design to production deployment.
- Architect secure, scalable enterprise deployments that satisfy complex Azure networking (VNets, Private Endpoints), identity (Microsoft Entra ID), and security compliance standards.
- Serve as a subject matter expert in core areas such as Microsoft Azure infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management.
- Support Solutions Architects during complex technical sales cycles by building custom proof-of-concept (PoC) architectures and technical content on Azure.
- Expand platform adoption by delivering tutorials, conducting hackathons, speaking at conferences, and contributing to the Databricks open-source community.
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