Role: Azure Lead Cloud Architect
Location: Remote
Hire type: Contract
Job description:
Position Overview:
We are seeking a highly skilled and experienced Azure Lead Cloud Architect to lead the design, implementation, and optimization of Azure-based cloud solutions, with a focus on data solutions, infrastructure automation, and migration. The ideal candidate will possess a strong technical background in cloud architecture, especially in building Infrastructure as Code (IaC), designing scalable Azure Data Lake and database solutions, and driving migration strategies. As a technical leader, you will guide cross-functional teams to ensure that our cloud architecture aligns with business goals, follows best practices, and optimizes performance, security, and compliance.
Key Responsibilities:
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- Technical Leadership & Strategic Guidance: Provide technical leadership and mentorship to cross-functional teams (cloud engineers, data engineers, business stakeholders) to architect robust Azure-based data solutions.
- Ensure alignment of cloud solutions with business objectives, considering current and future growth.
- Stay updated with the latest Azure innovations, trends, and best practices to recommend the best solutions for complex business needs.
- Azure Data Lake and Database Solutions: Design and deploy scalable and high-performance Azure Data Lake storage solutions to handle large volumes of unstructured and structured data.
- Architect, configure, and manage Azure SQL Database, Cosmos DB, and other database offerings to ensure high availability, disaster recovery, and optimized performance.
- Databricks Administration & Integration: Manage, configure, and administer Azure Databricks environments, ensuring optimal performance, scalability, and security of data processing workloads.
- Collaborate with data scientists, data engineers, and analysts to integrate Azure Databricks with other Azure services (e.g., Azure Data Lake, Azure Synapse) to build scalable data processing and analytics solutions.
- Implement best practices for managing Databricks clusters, notebooks, libraries, and jobs to ensure efficiency and cost optimization.
- Perform regular monitoring, troubleshooting, and performance tuning of Databricks workloads, ensuring high reliability and uptime.
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- Cloud Migration Strategy & Execution: Develop and implement comprehensive strategies for migrating on-premises data and applications to Azure with minimal disruption to business operations.
- Use Azure-native tools (e.g., Azure Migrate, Data Migration Assistant) to facilitate seamless migration of data assets to the cloud.
- Azure Data Factory (ADF) Expertise: Design, implement, and maintain efficient data pipelines using Azure Data Factory (ADF) to orchestrate and automate ETL workflows across various data sources and destinations.
- Optimize pipeline performance, manage dependencies, and ensure seamless data movement across hybrid cloud environments.
- Database Services Optimization: Administer and optimize Azure Database offerings such as Azure SQL Database, SQL Managed Instances, and other relational/non-relational databases.
- Design high-availability, fault-tolerant architectures, and ensure efficient data replication, backup, and recovery.
- Performance Tuning & Optimization: Identify and address performance bottlenecks within Azure-based data solutions, applying performance tuning strategies to maximize system efficiency.
- Ensure that systems are optimized for cost efficiency, scalability, and reliability by monitoring usage patterns and implementing proactive optimization strategies.
- Security & Compliance: Implement strong security measures across Azure data solutions to ensure confidentiality, integrity, and availability of data.
- Leverage Azure’s security features, including encryption, role-based access control (RBAC), firewalls, and auditing tools to meet compliance requirements (e.g., GDPR, HIPAA, SOC 2).
- Conduct regular security assessments and work with teams to enforce security best practices across all cloud solutions.
- Collaboration & Communication: Engage with stakeholders from business units, IT, and data engineering to understand business requirements, design appropriate solutions, and ensure smooth project delivery.
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- project updates, technical challenges, and solutions to executive leadership and other stakeholders, ensuring transparency and alignment with organizational goals.
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- collaborative decision-making and knowledge sharing among cross-functional teams to achieve optimal solutions.
- the design and implementation of Infrastructure as Code (IaC) solutions using tools like Azure Resource Manager (ARM) templates, Terraform, or Azure Bicep to automate infrastructure provisioning and management.
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- that IaC practices are embedded in the development lifecycle for consistent, repeatable, and scalable cloud deployments.
- Infrastructure as Code (IaC):
Qualifications:
- Experience: 8+ years in cloud architecture, with at least 5 years focused on Azure cloud solutions and architecture design.
- Technical Skills: Expertise in Azure Data Lake, Azure SQL Database, Azure Cosmos DB, Azure SQL Managed Instance, and related Azure data services.
- Strong proficiency in Azure Data Factory (ADF) for data pipeline orchestration and ETL process design.
- Databricks administration and optimization experience, including cluster management, job execution, and integration with Azure services.
- Solid experience with Infrastructure as Code (IaC) using tools like Terraform, ARM templates, or Azure Bicep.
- Familiarity with Azure Databricks, and other advanced data processing services.
- Deep understanding of cloud security best practices, including access control, data encryption, and compliance standards.
- Experience with CI/CD pipelines and automation tools to manage cloud infrastructure and application deployments.
- Soft Skills: Leadership experience, with a track record of successfully mentoring teams and driving technical initiatives to completion.
From:
Gangadar Reddy,
Centraprise
edula.gangadar@centraprise.com
Reply to: edula.gangadar@centraprise.com