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We are seeking an expert Senior DataOps/Cloud Data Engineer to lead the orchestration, deployment automation, and performance tuning of enterprise cloud data platforms. In this role, you will take technical ownership of continuous integration and continuous delivery (CI/CD) pipelines for massive database architectures, bridging the gap between legacy environments and modern cloud ecosystems. Operating across transactional (OLTP) and analytical (OLAP) data layers, you will design complex storage schemas, handle large-scale data migrations, and optimize cloud configurations to ensure high-performance data processing, absolute data integrity, and secure data access.
Job Responsibility
Design, build, and optimize automated database CI/CD release pipelines to seamlessly promote structural database changes across multi-tier environments
Manage database state deployments using data-tier application packages (DACPAC), establishing automated promotion rules from development to production
Provision, configure, and secure cloud storage and compute services, including virtual machines, disks, file shares, and key vaults
Design, implement, and maintain advanced logical and physical data schemas, fact/dimension models, enterprise data lakes, and data lakehouse architectures
Architect and execute data conversion, loading, and migration programs for Very Large Data (VLD) environments across SaaS, PaaS, and IaaS structures
Plan, patch, configure, and maintain performance tuning for heterogeneous database engines including Oracle, SQL Server, and Synapse
Develop and optimize complex backend logic using Oracle PL/SQL programs and SQL Server stored procedures, diagnosing and resolving architectural database issues
Monitor environment health, configure alerting dashboards via cloud monitoring tools, track system incidents, and execute data backup/recovery testing scripts
Participate in technical requirement walkthroughs and use case reviews, delivering comprehensive system design documentation and structured technical knowledge transfers to permanent teams
Requirements
8+ years of progressive professional experience architecting, developing, and administrating enterprise-level database infrastructures and data pipelines
Extensive, hands-on expert experience utilizing Microsoft Azure technologies, including Azure Pipelines, Azure DevOps, Storage Accounts, Azure Key Vault, Azure Portal, Virtual Machines, and Azure Monitoring tools
Confirmed expertise designing, building, and operating big data environments, specifically utilizing Data Lake and Data Lakehouse architectures
Proven track record configuring, optimizing, and administrating Oracle, Microsoft Azure SQL Database, and Synapse Database ecosystems
Deep practical proficiency developing automated cloud-based database release tracks utilizing DACPAC and automated backup/recovery scripts
High proficiency writing, debugging, and tuning complex, high-performance Oracle PL/SQL routines and SQL Server stored procedures
Working knowledge of designing structural logical and physical data frameworks using modeling software such as Sybase PowerDesigner
Outstanding verbal and written communication skills with a proven track record of authoring detailed system designs and facilitating knowledge-transfer sessions