You will engineer cloud solutions for database, data warehouse, and analytics requirements.
Responsibilities
Develop best practices for Azure Databricks and database solution implementations.
Implement SQL PaaS, SQL MI, and SQL IaaS solutions based on end-user requirements.
Integrate new infrastructure services and participate in automation, consolidation, and centralization projects.
Translate stakeholder requirements into actionable backlog items and technical roadmaps.
Maintain high-standard operational documentation, build documents, and compliance procedures.
Required Skills
8+ years of experience in data engineering and cloud environments.
Extensive hands-on experience with Azure services including ADLS, Azure Data Factory, Azure Functions, Synapse, Azure SQL, Azure Databricks, and Azure Data Catalog.
In-depth knowledge of Azure Databricks internal architecture.
Proven ability to build ADF pipelines and orchestrate end-to-end Azure cloud deployments.
Hands-on experience with SQL PaaS, SQL MI, and SQL IaaS.
Experience securing certificates and cryptographic keys using Azure Key Vault.
Practical knowledge of Lakehouse and Delta Lake architectures.
Experience with App Insights, DevOps, CI/CD deployments, and PowerShell.
Strong understanding of IT security concepts and production environment requirements.
Preferred Skills
Experience supporting applications and services in shared or virtual environments.