Senior Database Cloud Engineer

DAVACO LP
4050 Valley View Ln.
Ste 150
Irving, TX 75038, USA

DAVACO is a leading turn‑key solution provider with more than 30 years of experience supporting the world's leading brands with the development, transformation, and maintenance of their physical sites throughout North America. In collaboration with a diversified base of clients, DAVACO delivers scale, speed, and high‑quality solutions that solve tomorrow’s challenges today.

We are seeking a highly skilled Senior Database Cloud Engineer to join our IT team. This role blends deep database expertise with modern cloud‑enabled application practices, with a primary focus on database performance, optimization, and migration. The core responsibility is analyzing, optimizing, and migrating database queries across Oracle, SQL Server, and Mongo

DB to support high‑performance, cloud‑enabled applications and enterprise platforms, including integrations with systems such as Net Suite ERP. The engineer will play a key role in ensuring scalable data architecture, efficient data synchronization, and optimized reporting pipelines across business‑critical systems. Secondary responsibilities include contributing to application development using Type Script and C#, particularly in systems where optimized data access is critical. Experience with cloud platforms, containerization, ERP integrations, and AI‑assisted development is a strong plus.

• Own database performance optimization efforts, including analysis, tuning, and migration of SQL and No
  
  SQL queries across Oracle, SQL Server, and MongoDB
• Identify and resolve database and data‑access performance bottlenecks to support reliable, high‑performance, cloud‑enabled applications
• Design and guide indexing strategies, query plans, and data models to ensure scalability, efficiency, and long‑term maintainability
• Support database modernization initiatives, including cloud migrations and optimization of legacy database implementations
• Provide database‑focused application support by contributing to backend services and APIs where optimized data access is critical
• Collaborate with developers, architects, and IT stakeholders to establish best practices for database usage, data access patterns, and performance standards
• Support and optimize data‑intensive workloads deployed in Azure, including containerized environments and cloud‑native architectures
• Design, optimize, and support ETL and data migration processes to ensure data accuracy, performance, and operational efficiency
• Validate data integrity, consistency, and performance during and after migrations or major system changes
• Provide technical guidance and influence standards related to database performance, cloud data services, and data access architecture within the IT organization

• Demonstrated experience optimizing and tuning SQL and No
  
  SQL databases, including Oracle, SQL Server, and Mongo
  
  DB, in production environments
• Strong understanding of database indexing strategies, execution plans, schema design, and performance tuning best practices
• Experience supporting cloud‑enabled data platforms and workloads, including database services deployed in Microsoft Azure
• Working experience contributing to application codebases using Type Script and/or C#, primarily to support efficient data access and performance
• Experience designing, supporting, or migrating ETL and data integration processes for relational and No
  
  SQL data sources
• Strong analytical and troubleshooting skills with the ability to diagnose complex data and performance issues
• Ability to collaborate cross‑functionally with IT, development, architecture, and operations teams
• Experience working with containerized environments and modern deployment practices is preferred
• Exposure to cloud migration efforts, distributed systems, or AI‑assisted development is a plus

• Ability to sit, stand, and work at a computer for extended periods of time
• Ability to perform repetitive tasks such as typing, data entry, and reviewing technical documentation
• Ability to communicate effectively via phone, video conference, and in person
• Ability to view and analyze information on…