YOUR OPPORTUNITY

We’re seeking a Cloud Data Platform Architect with deep expertise in Microsoft SQL Server to lead the design and optimization of high-throughput, scalable, and reliable database systems deployed in Azure and AWS. This is a critical, strategic role within organization — ideal for someone who has architected enterprise-grade SQL Server solutions processing 100s of millions of transactions or records daily.

QUALIFICATIONS

• 10+ years of experience with Microsoft SQL Server, including 3+ years in cloud-based deployments (Azure and/or AWS)
• Proven experience with large-scale systems processing millions of rows/transactions per day
• Strong background in query optimization, indexing, partitioning, and concurrency control
• Hands-on experience with Azure SQL Database, SQL Managed Instance, or Amazon RDS for SQL Server
• Deep understanding of database internals and transaction processing
• Strong communication and leadership skills; ability to influence at all levels

TECHNICAL SKILLS

• Microsoft SQL Server Expertise: Strong proficiency in SQL and related database technologies. ,
• Knowledge of data and analytical cloud platform solutions
• Knowledge of tools and techniques to analysis performance of SQL solutions.

SOFT SKILLS

• Team Collaboration: Ability to work effectively within cross-functional teams.
• Communication: Strong communication skills, especially in client-facing interactions, with English as the primary language.

EDUCATIONAL BACKGROUND

• A Bachelor or Master of Science in Computer Science or a related field is required.

• Architect scalable and high-performing SQL Server solutions in cloud environments (Azure & AWS)
• Lead the design and execution of strategies to improve operational concurrency, throughput, and reliability
• Work closely with developers, DevOps, and data engineers to optimize performance and cost
• Evaluate current data models and indexing strategies, proposing improvements for cloud-native scalability
• Identify bottlenecks and performance, of queries, updates, and database locking
• Define and implement monitoring, observability, and alerting standards
• Provide leadership in capacity planning, disaster recovery, and high availability design
• Contribute to the strategic roadmap for data platform evolution
• Support R&D projects with architectural guidance on data-heavy applications and services