Data & Analytics Customer Engineer (SQL, AzureSQL, Power BI & MS Fabric)

At JDA TSG, we equip many of the world’s major brands with top-tier specialized talent, business process expertise, and technologies to drive their organizations in exciting new directions. What makes us the partner of choice for the most experience-obsessed brands worldwide? We apply extensive due diligence up front to ensure that our teams and talent will be a cultural fit and can make a difference from the very start. And we’ve established a reputation for bringing exceptional focus, flexibility, and confidence with every client we serve.

We have immediate opportunities for a Microsoft SQL Server & Azure SQL Customer Engineer to help customers modernize, optimize, and transform their enterprise data platforms. In this role, you'll serve as a trusted technical advisor, helping organizations design highly available, secure, and high-performing SQL Server environments while driving modernization to Azure SQL services and cloud-based data platforms.

• Act as a trusted advisor to customers on Microsoft SQL Server and Azure SQL technologies, guiding modernization strategies, database migrations, performance optimization, high availability, and cloud adoption
• Lead technical workshops and solution envisioning sessions to help customers design scalable, secure, and resilient data platform architectures
• Advise customers on modernizing SQL Server workloads, including upgrades, migration from on-premises and non-SQL Server platforms to Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure IaaS
• Deliver architecture reviews, health assessments, and executive briefings focused on SQL Server performance, scalability, resiliency, and operational best practices
• Guide customers on implementing enterprise-grade High Availability and Disaster Recovery solutions utilizing Always On Availability Groups, Windows Failover Clustering, geo-replication, backup and recovery strategies, and Azure-native resiliency capabilities
• Recommend best practices for SQL Server performance tuning, query optimization, indexing strategies, database design, capacity planning, and workload optimization
• Advise customers on implementing secure database environments utilizing Azure AD Authentication, Managed Identity, Transparent Data Encryption (TDE), Always Encrypted, SQL Auditing, Microsoft Defender for SQL, and Advanced Threat Protection
• Share reference architectures, modernization strategies, and industry best practices to enable customer self-sufficiency and long-term platform success
• 10-15+ years of experience in enterprise database administration, SQL Server architecture, cloud data platforms, or database modernization, with a strong focus on Microsoft technologies
• Recognized expert in Microsoft SQL Server and Azure SQL technologies, with experience designing, implementing, and optimizing enterprise database platforms across on-premises, Azure IaaS, Azure SQL Database, Azure SQL Managed Instance, and Azure Database for PostgreSQL
• Serve as a trusted advisor to customers by providing deep technical expertise in SQL Server and Azure SQL, translating business, performance, security, and modernization requirements into scalable database platform architectures
• Deliver high-impact technical workshops, conduct health check assessments and architecture reviews, serving as a trusted advisor on SQL Server performance, modernization, security, high availability, and database best practices
• Lead strategic customer engagements, architecture reviews, technical workshops, and executive briefings to drive adoption of Microsoft SQL Server and Azure SQL technologies
• Lead workshops, conduct assessments, and architectural reviews to identify performance gaps, recommend remediation strategies, and define future-state modernization roadmaps
• Collaborate with product engineering, support, and account teams to resolve complex customer challenges and influence platform adoption and long-term customer success
• Demonstrated ability to lead discussions with both technical and executive stakeholders, translating complex database architectures into business-focused outcomes
• Strong communication, presentation, and stakeholder management skills with experience influencing decisions across large enterprise organizations
  
  

Key Skills & Technologies

• Microsoft SQL Server: Enterprise SQL Server architecture, performance tuning, query optimization, T-SQL development, Query Store, indexing strategies, partitioning, schema design, SQL code reviews, capacity planning, and SQL Server upgrades
• Azure SQL Platform: SQL Server on Azure IaaS, Azure SQL Database, Azure SQL Managed Instance, Azure Database for PostgreSQL, Azure Arc, elastic pools, geo-replication, auto-failover groups, and database modernization
• Modern Data & Analytics: Power BI, Power BI Embedded, DAX, Power Query, reporting modernization, analytics platform integration, Azure Data Factory, Azure Synapse Analytics and Microsoft Fabric
• Database Migration & Modernization: Migration from legacy and non-SQL Server platforms, SQL Server upgrades, Azure Database Migration, workload modernization, migration assessments, and cloud adoption strategies
• High Availability & Disaster Recovery: Always On Availability Groups, Windows Failover Clustering, backup and recovery, geo-replication, disaster recovery planning, resiliency architecture, and business continuity
• Performance Engineering: Query tuning, execution plan analysis, Query Store, intelligent insights, indexing optimization, storage management, workload analysis, database capacity planning, and performance troubleshooting
• Security & Compliance: Azure AD Authentication, Managed Identity, Transparent Data Encryption (TDE), Always Encrypted, SQL Auditing, Microsoft Defender for SQL, Advanced Threat Protection, encryption, auditing, and secure database design
• Database Administration: Replication, policy-based management, Extended Events, SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), PowerShell automation, licensing, and operational best practices
  
  

Nice To Have

• Advanced Data Technologies: Databricks, Spark SQL, Python, vector databases, vector search, AI and Copilot capabilities, and modern data platform innovation