Data Architect Azure & GenAI Insights US Remote only and on w2
Job Title: Data Architect Azure & GenAI Insights
Experience: 8 12+ years
Location: US Remote
Job Type:12 months plus
Job Summary
We are looking for an experienced Data Architect / Lead to design and lead modern data platforms for a GenAI Insights program. The role involves building scalable data solutions on Microsoft Azure, leading Data Engineering teams, ensuring data quality and governance, and delivering business insights through analytics and Power BI.
Key Responsibilities
• Lead and mentor Data Engineering teams in enterprise environments
• Define and own end-to-end data architecture aligned with business goals
• Design and build scalable data platforms using Azure Data Lake, Azure SQL, Databricks, and Microsoft Fabric
• Develop and manage data pipelines for structured and unstructured data
• Implement data quality, governance, security, and monitoring best practices
• Enable analytics and insights through Power BI dashboards and reporting
• Collaborate with business and executive stakeholders to present insights
• Integrate Generative AI / AI-driven analytics into data platforms
Required Skills & Qualifications
• 8 12+ years in Data Engineering / Data Architecture roles
• Strong hands-on experience with Azure Data Lake, Azure SQL Server, Databricks, Microsoft Fabric
• Experience with NoSQL databases (Cosmos DB, MongoDB, Cassandra, etc.)
• Expertise in building scalable data pipelines and modern data architectures
• Strong knowledge of data quality engineering, governance, and security
• Proficiency in Power BI and enterprise reporting
• Experience leading and mentoring Data Engineering teams
• Understanding of AI / GenAI concepts in data and analytics
• Excellent communication and stakeholder management skills
Preferred Certifications
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer
• Microsoft Fabric Analytics Engineer Associate
Apply Now
Apply Now
Experience: 8 12+ years
Location: US Remote
Job Type:12 months plus
Job Summary
We are looking for an experienced Data Architect / Lead to design and lead modern data platforms for a GenAI Insights program. The role involves building scalable data solutions on Microsoft Azure, leading Data Engineering teams, ensuring data quality and governance, and delivering business insights through analytics and Power BI.
Key Responsibilities
• Lead and mentor Data Engineering teams in enterprise environments
• Define and own end-to-end data architecture aligned with business goals
• Design and build scalable data platforms using Azure Data Lake, Azure SQL, Databricks, and Microsoft Fabric
• Develop and manage data pipelines for structured and unstructured data
• Implement data quality, governance, security, and monitoring best practices
• Enable analytics and insights through Power BI dashboards and reporting
• Collaborate with business and executive stakeholders to present insights
• Integrate Generative AI / AI-driven analytics into data platforms
Required Skills & Qualifications
• 8 12+ years in Data Engineering / Data Architecture roles
• Strong hands-on experience with Azure Data Lake, Azure SQL Server, Databricks, Microsoft Fabric
• Experience with NoSQL databases (Cosmos DB, MongoDB, Cassandra, etc.)
• Expertise in building scalable data pipelines and modern data architectures
• Strong knowledge of data quality engineering, governance, and security
• Proficiency in Power BI and enterprise reporting
• Experience leading and mentoring Data Engineering teams
• Understanding of AI / GenAI concepts in data and analytics
• Excellent communication and stakeholder management skills
Preferred Certifications
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer
• Microsoft Fabric Analytics Engineer Associate
Apply Now
Apply Now