New
Engineering Architect
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![]() United States, Texas, Dallas | |
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OverviewMicrosoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is tobuild the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. The Azure Databases SQL Customer Success Engineering team is highly collaborative, data-oriented, withdeep technical product knowledge. Team is focused on unblocking and accelerating complex Data Modernization engagements and gaiting product issues with our customers. Team is primarily focused on Azure SQL services including SQL Server and Arc along with Db2, Oracle & Sybase modernizations. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
ResponsibilitiesDesign, develop, and optimize database solutions for modernizing Mainframe applications to SQL Server and Azure SQL, applying deep development and architectural expertise. Develop and maintain applications and tooling using programming languages such as C# and C++, ensuring high performance and scalability. Lead and drive modernization initiatives for IBM Mainframe workloads, migrating them to Azure SQL. Architect and build SQL-based distributed systems that support low-latency, high-throughput applications while ensuring compliance with security and regulatory requirements. Implement and manage data replication solutions, including SQL Server native replication and third-party tools such as IBM IIDR, Qlik, and Oracle GoldenGate, to ensure seamless data availability and reliability. Ability to engage in customer facing complex engagements ranging from PoCs to performance tuning & optimization. Document and share learnings and technical best practices / insights within engineering as well as the wider architect community and contribute to key engineering activities such as telemetry, code and design specification reviews. Embody our culture and values |