Azure Data Architect [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Azure Data Architect based in the United States.

The Azure Data Architect will play a key role in designing, implementing, and modernizing enterprise-scale cloud data solutions.
This position combines deep technical expertise with strategic consulting, helping organizations transform complex data environments into scalable, secure, and high-performing platforms.
You will lead cloud migration initiatives, architect modern data ecosystems, and deliver solutions using advanced Azure technologies.
The role requires close collaboration with clients, technical teams, and business stakeholders to translate requirements into impactful data strategies.
You will have the opportunity to work on challenging projects across multiple industries while shaping best practices in cloud data architecture.
This is an ideal opportunity for a technically strong professional who enjoys innovation, problem-solving, and driving digital transformation.

Accountabilities:

As an Azure Data Architect, you will be responsible for leading the design, implementation, and optimization of modern cloud data platforms while supporting clients through complex transformation initiatives.

• Design and implement scalable, secure, and high-performance data architectures using Azure Databricks, Microsoft Fabric, Delta Lake, Unity Catalog, and OneLake.
• Lead end-to-end cloud migration projects, transitioning legacy data platforms and on-premises environments into Azure-native solutions.
• Develop and optimize ETL/ELT pipelines using Azure Data Factory, Databricks workflows, and Fabric Data Pipelines.
• Build real-time data processing solutions using technologies such as Event Hubs, Stream Analytics, and Databricks Structured Streaming.
• Create optimized data models, queries, and transformation processes using SQL, Python, PySpark, and Spark SQL.
• Establish data governance frameworks, security standards, compliance practices, and technical reference architectures.
• Configure and optimize Azure resources, including storage, compute environments, networking, and cloud services.
• Troubleshoot complex issues across the data ecosystem and provide reliable technical solutions.
• Act as a trusted advisor to clients by understanding business objectives, facilitating discovery sessions, and recommending effective data strategies.
• Present architecture proposals and technical recommendations to stakeholders, including executive audiences.
• Provide mentorship, documentation, and knowledge transfer to client teams and internal stakeholders.
• Manage multiple client engagements while maintaining delivery quality, timelines, and technical excellence.

Requirements:

The ideal candidate brings extensive experience in cloud data architecture, migration, and consulting, along with strong technical and communication skills.

• 5+ years of hands-on experience as a Data Architect, Senior Data Engineer, or similar role within Azure environments.
• Deep expertise in Azure Databricks, including Unity Catalog, Delta Lake, cluster optimization, and workspace administration.
• Strong experience with Microsoft Fabric, including Data Factory, Data Warehouse, OneLake, and Power BI integrations.
• Proven experience leading multiple large-scale cloud migration projects involving enterprise data platforms.
• Advanced proficiency in PySpark, SQL, Python, and modern data processing frameworks.
• Hands-on experience with Azure services such as Data Lake Storage Gen2, Synapse Analytics, Data Factory, Event Hubs, and Key Vault.
• Strong understanding of data modeling concepts, including dimensional modeling, star schemas, data vault, and database design principles.
• Experience implementing CI/CD processes for data workloads using Azure DevOps, GitHub Actions, or similar tools.
• Prior client-facing consulting or solution architecture experience with the ability to engage business and technical stakeholders.
• Excellent communication, presentation, and workshop facilitation skills.
• Ability to manage multiple priorities, work independently, and drive complex projects to completion.
• Experience with Azure certifications such as DP-203 or AZ-305 is preferred.
• Databricks certifications, experience with data governance platforms, MLOps, Terraform, or Bicep are considered advantages.
• Industry experience in areas such as financial services, healthcare, retail, manufacturing, or similar sectors is a plus.

Benefits:

• Competitive compensation package based on experience and qualifications.
• Opportunity to work on large-scale cloud transformation projects with leading technologies.
• Remote work flexibility within the United States.
• Exposure to diverse industries and complex enterprise environments.
• Opportunities for professional growth, certifications, and continuous learning.
• Collaborative environment focused on innovation, knowledge sharing, and technical excellence.
• Career development opportunities within a global technology organization.
• Inclusive workplace culture that values diversity, creativity, and collaboration.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.