Azure Cloud Architect Level 3

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Azure Cloud Architect Level 3 in the United States.

As an Azure Cloud Architect Level 3, you will lead the design, implementation, and optimization of enterprise-scale data management platforms in Azure. You will work closely with cross-functional teams to architect high-performance, secure, and scalable solutions that enable advanced analytics and business intelligence. This role requires hands-on expertise with Azure services, big data technologies, and modern data platform best practices. The ideal candidate is a seasoned technologist who can provide technical leadership, mentor teams, and drive improvements across cloud infrastructure, data pipelines, and analytics environments. You will play a pivotal role in shaping the platform’s future while ensuring alignment with industry standards and enterprise requirements.

Accountabilities

• Architect Azure cloud solutions for data management platforms, ensuring scalability, security, and performance.
• Lead the design and implementation of data warehouses, data marts, and big data platforms, including streaming and batch data pipelines.
• Provide technical leadership and guidance across multiple teams, including Platform, API, DevOps, Operations, and Product Management.
• Implement Azure-native technologies such as Databricks, Data Factory, Data Lake Storage, Event Grid, Synapse, Cosmos DB, and Azure Functions.
• Support data platform operational activities, including triage of production issues and tier 3 support.
• Ensure adherence to data security best practices and compliance requirements.
• Review and provide feedback on code changes, support production deployments, and deliver hands-on contributions to platform development.

Requirements

• 10+ years of hands-on experience with enterprise data platforms.
• 10+ years implementing data warehouses, data marts, and MPP-based big data solutions.
• 3+ years of experience with PySpark/Spark and Databricks.
• Strong expertise in Azure data services including Azure SQL, Synapse, ADLS, Blob Storage, Data Factory, Stream Analytics, Event Grid, and Service Bus.
• Proficiency in Python, SQL Server, T-SQL, and SQL stored procedures.
• Understanding of network and data security architecture and best practices.
• Experience with data platform performance tuning and optimization.
• Strong problem-solving, communication, and mentoring skills.
• Ability to provide technical guidance and architectural solutions in a collaborative, fast-paced environment.

Benefits

• 100% remote work option for flexibility.
• Competitive contract or salary-based compensation based on experience.
• Opportunity to work with cutting-edge Azure technologies and modern data platforms.
• Collaboration with cross-functional, global teams on enterprise-scale projects.
• Professional development opportunities, including training and certifications.
• Long-term engagement with potential for project extensions and growth.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!