Specialist Solutions Architect – Azure Infrastructure, AI Platform

This is a fully remote position, open to applicants in California.

📋 Description

• Guide strategic clients through the complete lifecycle of Databricks on Azure, from architectural design to production deployment.

• Design and scale compute and networking infrastructure tailored for AI workloads, enterprise LLM implementations, and high-performance GenAI applications.

• Act as a subject matter expert in Azure infrastructure, infrastructure-as-code, cloud networking, and identity management.

• Drive technical successes in competitive situations by leveraging custom-built solutions.

• Coordinate with DSAs, SAs, SSAs, and partners to provide solutions for intricate customer requirements.

• Shape product direction by delivering structured feedback on customer needs and competitive deficiencies.

• Function as a trusted technical advisor, assisting enterprise customers with their Databricks Platform architecture, cloud infrastructure, and AI deployment methodologies.

• Establish Databricks as the cornerstone of customers’ data and AI strategies.

⛳️ Requirements

• Over 6 years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical position.

• Practical experience in designing cloud infrastructure for AI/ML execution, which includes GPUs/TPUs, model serving frameworks, vectorized data retrieval, and optimizing cloud performance/costs.

• Advanced knowledge in Azure security, networking, deployments, platform management, observability, cost control, and identity protocols.

• Proficiency in automation tools such as Terraform, Bicep, or ARM.

• Strong programming skills in Python and SQL, which encompass live coding, debugging, and solution development.

• Extensive expertise in the architecture of distributed data systems, scalable data pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.

• Familiarity with the Databricks Platform or the ability to quickly gain proficiency.

• Technical specialization in areas like real-time/streaming, ML/AI, data governance, or migrations.

• Capability to lead architecture discussions, whiteboarding sessions, design reviews, and trade-off analyses.

• Proven track record of fostering platform adoption and increasing consumption growth within accounts.

• Exceptional communication skills to convey complex architectures in terms of business value.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative field, or equivalent experience.

• Willingness to travel up to 30% as required.

• Databricks certifications are a plus.

• Microsoft Azure certifications are advantageous.

• Experience with Snowflake, AWS native services, or Azure Synapse is beneficial.

• A background in a data/AI company or cloud provider is a plus.

🏝️ Benefits

• Eligibility for annual performance bonuses.

• Equity eligibility.

• Comprehensive benefits and perks (specific regional details provided by Databricks).

• Option for remote work.