Resident Solution Architect, Databricks

Job not on LinkedIn

🔥 11 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $80 / hour

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Clera

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

💰 $180k Grant on 2025-04

Clera is a company that displays an onboarding/setup message to users: "Please wait while we prepare everything for you. " Based on this single line of text, the company's specific product, service, or industry cannot be determined with confidence. The message suggests Clera provides a user-facing digital service or application that performs setup or provisioning, but there is insufficient information to identify a precise industry.

📋 Description

• Architect, design, and deliver end-to-end Databricks implementations for enterprise clients • Serve as a hands-on solution architect, guiding technical teams through complex data platform builds • Apply Databricks Lakehouse Platform capabilities, Delta Lake, and best practices to drive client outcomes • Leverage Apache Spark expertise, including runtime internals, for performance tuning, optimization, and scalability of large-scale data platforms • Design and support CI/CD pipelines for production data platform deployments • Advise on and implement MLOps workflows with data science teams • Work across AWS, Azure, or GCP to deliver scalable, cloud-native solutions • Translate complex technical requirements into architectural recommendations for technical and non-technical stakeholders

🎯 Requirements

• Must be authorized to work in the United States without visa sponsorship; no C2C or 1099 • 10+ years of consulting experience • 7+ years focused on Data Engineering, Data Platforms, and Analytics • Hands-on delivery of 6–8+ enterprise-scale Databricks implementation projects • Strong understanding of the Databricks Lakehouse Platform, including capabilities and best practices • Deep expertise in Apache Spark and distributed computing, including Spark runtime internals • Completed Databricks Data Engineering Professional Certification • Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP • Proven experience with performance tuning, optimization, and scalability of large-scale data platforms • Solid understanding of CI/CD pipelines for production deployments • Working knowledge of MLOps principles and tooling • Multi-cloud experience spanning two or more of AWS, Azure, and GCP is nice to have

🏖️ Benefits

• Up to $80/hr on W2 • W2 contract engagement