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

About the role

We are seeking a Microsoft SQL Server & Azure SQL Customer Engineer to join our team. This role is ideal for someone with 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.

Responsibilities

• 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.
• Lead technical workshops and solution envisioning sessions to help customers design scalable, secure, and resilient data platform architectures.
• Advises 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.
• Advises 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.

Requirements

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.

Qualifications

• Strong communication, presentation, and stakeholder management skills with experience influencing decisions across large enterprise organizations.
• Demonstrated ability to lead discussions with both technical and executive stakeholders, translating complex database architectures into business-focused outcomes.
• 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.