Azure Data Architect

Data Architect

(Hybrid)

Experience:

10+ Years

Location:

Hybrid

Mandatory:

Azure, Medallion Architecture, SQL, Databricks, Data Lake

Key Responsibilities

Design and architect scalable, high-performance, and cost-effective cloud-based solutions using Azure services and Databricks.Develop architecture blueprints for data pipelines, data warehousing, and advanced analytics solutions.Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows.Design data pipelines for large-scale data ingestion, processing, and storage.Implement data security, governance, and compliance measures within Databricks using Unity Catalog.Collaborate with data engineers, DevOps teams, and stakeholders to ensure seamless solution integration.Analyze system performance, identify bottlenecks, and implement performance optimization solutions.Implement monitoring tools for Azure and Databricks environments to ensure system health.Ensure data security and compliance with GDPR, HIPAA, and other regulations through encryption, access control, and logging strategies.Proficient in Azure services like Azure Data Factory, Azure Storage, Azure SQL, and Azure Functions.Expertise in Databricks, Apache Spark, and big data technologies.Strong scripting skills in Python and SQL, with experience in Terraform or CloudFormation.Experience with Kubernetes, Docker, and containerized applications.Familiarity with data lake architectures, Delta Lake, and advanced analytics.Strong knowledge of CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).Educational Qualifications

Engineering Degree – BE/ME/BTech/MTech/BSc/MScTechnical certifications in multiple technologies are desirable.

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