Azure Data Architect
Arohak Inc
Jersey City, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Data Analysis
Microsoft Azure
Big Data
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Extract Transform Load (ETL)
Data Masking
Data Security
Data Vault Modeling
+27 more
Data Warehousing
DevOps
Python (Programming Language)
SQL Azure
Role-Based Access Control
Power BI
Azure Data Lake
SQL Databases
Azure Service Bus
Azure Data Factory
Apache Spark
Git
Microsoft Fabric
Data Lakes
Pyspark
Bicep
Apache Kafka
Cosmos DB
Data Management
Machine Learning Operations
Video Streaming
Terraform
Azure Synapse Analytics
Stream Analytics
Data Pipelines
GXP
Databricks
Job description
We are looking for an experienced Azure Data Architect to design, build, and govern scalable cloud data solutions on Microsoft Azure. You will define the data architecture strategy, lead technical design, and work with engineering, analytics, and business teams to deliver secure, high-performing data platforms., * Design end-to-end data architecture on Azure, covering ingestion, storage, processing, and consumption
- Architect data lake, data warehouse, and lakehouse solutions using Azure Synapse Analytics, Azure Data Lake Storage Gen2, Databricks, and Microsoft Fabric
- Build and oversee ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or Databricks
- Define data models (conceptual, logical, physical), including dimensional and data vault modeling
- Establish data governance, security, and compliance standards (RBAC, encryption, data masking, Microsoft Purview)
- Optimize performance, scalability, and cost of Azure data workloads
- Lead migration of on-premises data platforms to Azure
- Set architecture standards, best practices, and documentation
- Mentor data engineers and review technical designs
- Collaborate with stakeholders to translate business requirements into technical solutions
Requirements
- 10+ years in data engineering or architecture, with 4+ years on Azure
- Strong hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, ADLS Gen2, Azure SQL, and Cosmos DB
- Proficiency in SQL, Python, and/or PySpark
- Experience with data modeling, data warehousing, and big data frameworks (Spark, Delta Lake)
- Knowledge of streaming technologies (Event Hubs, Kafka, Stream Analytics)
- Understanding of CI/CD and DevOps for data (Azure DevOps, Git, Terraform/ARM/Bicep)
- Strong knowledge of data security, governance, and regulatory requirements
- Excellent communication and stakeholder management skills, * Microsoft certifications: Azure Solutions Architect Expert (AZ-305), Azure Data Engineer Associate (DP-203), or Fabric Analytics Engineer (DP-600)
- Experience with Power BI and enterprise reporting
- Exposure to MLOps or AI/ML data pipelines
- Experience in regulated industries (e.g., pharma/life sciences with GxP, healthcare, finance)
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