Data Architect (Azure Data Platform)
Role Name: Data Architect
Location:Hamilton NY
Job Summary
We are seeking an experienced Data Architect with strong expertise in Microsoft Azure data services to design and deliver scalable secure and high-performing cloud data platforms. The ideal candidate will lead architecture and implementation for modern data lakehouse/warehouse solutions enabling analytics reporting and data science workloads.
Key Responsibilities
Data Architecture & Modeling
-
Define end-to-end Azure data architecture for structured and unstructured data
-
Design data models for analytics and reporting (Star/Snowflake schemas)
-
Establish architecture standards patterns and best practices
Data Ingestion & Integration
-
Build scalable ingestion pipelines from on-prem cloud APIs and streaming sources
-
Use Azure Data Factory (ADF) and/or Event Hub / IoT Hub for batch and streaming ingestion
-
Integrate data across enterprise systems with reliable orchestration and error handling
Data Transformation & Processing
-
Develop ETL/ELT workflows using ADF and Databricks
-
Implement transformations business logic data cleansing and enrichment
-
Work with Spark on Databricks for large-scale processing
Data Storage & Management
-
Design and manage Azure Data Lake Storage (ADLS) and Azure Synapse Analytics / Azure SQL Database
-
Implement performance and cost-optimized storage and compute strategies
-
Ensure data quality availability and lifecycle management
Governance Security & Compliance
-
Apply governance policies including RBAC encryption and auditing
-
Manage secrets securely using Azure Key Vault
-
Ensure compliance with policies/regulations such as GDPR HIPAA (as applicable)
Monitoring & Optimization
-
Monitor pipelines and workloads using Azure Monitor and Log Analytics
-
Tune performance for pipelines Spark jobs and SQL queries
-
Optimize cloud spend through scaling strategies and architecture improvements
Collaboration
Required Skills & Qualifications
-
Strong hands-on experience architecting Azure data platforms using:
-
Strong SQL (T-SQL) and data warehousing concepts
-
Programming experience with Python or Scala (Databricks/Spark)
-
Working knowledge of PowerShell for automation (preferred)
-
Strong understanding of data governance security and compliance
-
Experience with monitoring troubleshooting and performance tuning in Azure
Nice to Have
-
Experience with lakehouse architecture and enterprise-scale data platforms
-
Azure certifications (e.g. Azure Data Engineer Azure Solutions Architect) preferred
-
Experience with Agile delivery and stakeholder management
Data Architect (Azure Data Platform) Role Name: Data ArchitectLocation:Hamilton NY Job Summary We are seeking an experienced Data Architect with strong expertise in Microsoft Azure data services to design and deliver scalable secure and high-performing cloud data platforms. The ideal candidate will ...
Data Architect (Azure Data Platform)
Role Name: Data Architect
Location:Hamilton NY
Job Summary
We are seeking an experienced Data Architect with strong expertise in Microsoft Azure data services to design and deliver scalable secure and high-performing cloud data platforms. The ideal candidate will lead architecture and implementation for modern data lakehouse/warehouse solutions enabling analytics reporting and data science workloads.
Key Responsibilities
Data Architecture & Modeling
-
Define end-to-end Azure data architecture for structured and unstructured data
-
Design data models for analytics and reporting (Star/Snowflake schemas)
-
Establish architecture standards patterns and best practices
Data Ingestion & Integration
-
Build scalable ingestion pipelines from on-prem cloud APIs and streaming sources
-
Use Azure Data Factory (ADF) and/or Event Hub / IoT Hub for batch and streaming ingestion
-
Integrate data across enterprise systems with reliable orchestration and error handling
Data Transformation & Processing
-
Develop ETL/ELT workflows using ADF and Databricks
-
Implement transformations business logic data cleansing and enrichment
-
Work with Spark on Databricks for large-scale processing
Data Storage & Management
-
Design and manage Azure Data Lake Storage (ADLS) and Azure Synapse Analytics / Azure SQL Database
-
Implement performance and cost-optimized storage and compute strategies
-
Ensure data quality availability and lifecycle management
Governance Security & Compliance
-
Apply governance policies including RBAC encryption and auditing
-
Manage secrets securely using Azure Key Vault
-
Ensure compliance with policies/regulations such as GDPR HIPAA (as applicable)
Monitoring & Optimization
-
Monitor pipelines and workloads using Azure Monitor and Log Analytics
-
Tune performance for pipelines Spark jobs and SQL queries
-
Optimize cloud spend through scaling strategies and architecture improvements
Collaboration
Required Skills & Qualifications
-
Strong hands-on experience architecting Azure data platforms using:
-
Strong SQL (T-SQL) and data warehousing concepts
-
Programming experience with Python or Scala (Databricks/Spark)
-
Working knowledge of PowerShell for automation (preferred)
-
Strong understanding of data governance security and compliance
-
Experience with monitoring troubleshooting and performance tuning in Azure
Nice to Have
-
Experience with lakehouse architecture and enterprise-scale data platforms
-
Azure certifications (e.g. Azure Data Engineer Azure Solutions Architect) preferred
-
Experience with Agile delivery and stakeholder management
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