Novia Infotech
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect (Azure Data Engineer Focus) in Hamilton, NY, offering a contract length of unspecified duration. Key skills include Azure Data Factory, Azure Synapse Analytics, and ETL/ELT development. Strong programming skills in SQL and Python or Scala are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Storage #Data Governance #ADLS (Azure Data Lake Storage) #Azure ADLS (Azure Data Lake Storage) #Data Architecture #Azure SQL Database #Scala #Data Processing #Data Ingestion #Data Modeling #GDPR (General Data Protection Regulation) #Databricks #Snowflake #Data Engineering #"ETL (Extract #Transform #Load)" #Azure Synapse Analytics #ADF (Azure Data Factory) #Data Quality #ML (Machine Learning) #Data Warehouse #Azure Databricks #Monitoring #Data Encryption #BI (Business Intelligence) #Automation #Microsoft Azure #Python #Apache Spark #Data Science #Azure SQL #IoT (Internet of Things) #Synapse #Data Storage #Security #Azure #Cloud #Big Data #SQL (Structured Query Language) #Compliance #Datasets #Vault #Azure Data Factory #Spark (Apache Spark) #Data Lake #Programming #Data Management
Role description
Job Title: Data Architect (Azure Data Engineer Focus)
Location: Hamilton, NY
🎯 Required Experience
• Strong background as an Azure Data Engineer / Data Architect with hands-on cloud data platform design and implementation.
• Cloud Platform Expertise (Microsoft Azure)
• Candidates must have deep knowledge of:
• Azure Data Factory (ADF) – ETL/ELT pipeline development
• Azure Synapse Analytics – Data warehousing & analytics
• Azure Databricks – Big data processing & ML workloads
• Azure Data Lake Storage (ADLS) – Scalable data storage
• Azure SQL Database – Relational data management
• Azure Event Hub / IoT Hub – Real-time streaming ingestion
📐 Data Modeling & Architecture
Design data models for structured & unstructured datasets
Implement Star Schema and Snowflake Schema for analytics
🔄 ETL / ELT Development
Build end-to-end ingestion and transformation pipelines
Orchestrate workflows using ADF and Databricks
💻 Programming & Automation
SQL (T-SQL – Azure SQL)
Python or Scala (Databricks)
PowerShell for automation
📊 Big Data & Analytics
Apache Spark on Databricks
Large-scale data processing and performance tuning
🔐 Data Governance & Security
RBAC implementation
Data encryption and compliance controls
Azure Key Vault for secrets management
📈 Monitoring & Optimization
Azure Monitor
Log Analytics
Pipeline & query performance tuning
Roles & Responsibilities
📥 Data Ingestion & Integration
Ingest data from on-prem systems, cloud platforms, and APIs
Build scalable pipelines using ADF and Event Hub
🔧 Data Transformation
Clean, normalize, and enrich data
Apply business logic in ETL/ELT workflows
🗄 Data Storage & Management
Design and maintain Data Lake and Data Warehouse
Optimize storage for cost and performance
🤝 Collaboration
Work closely with Data Scientists, BI Developers, and Architects
Ensure data quality and availability
🛡 Security & Compliance
Enforce governance policies
Ensure regulatory compliance (GDPR, HIPAA, etc.)
⚡ Performance & Cost Optimization
Monitor workloads
Scale Azure resources efficiently
Job Title: Data Architect (Azure Data Engineer Focus)
Location: Hamilton, NY
🎯 Required Experience
• Strong background as an Azure Data Engineer / Data Architect with hands-on cloud data platform design and implementation.
• Cloud Platform Expertise (Microsoft Azure)
• Candidates must have deep knowledge of:
• Azure Data Factory (ADF) – ETL/ELT pipeline development
• Azure Synapse Analytics – Data warehousing & analytics
• Azure Databricks – Big data processing & ML workloads
• Azure Data Lake Storage (ADLS) – Scalable data storage
• Azure SQL Database – Relational data management
• Azure Event Hub / IoT Hub – Real-time streaming ingestion
📐 Data Modeling & Architecture
Design data models for structured & unstructured datasets
Implement Star Schema and Snowflake Schema for analytics
🔄 ETL / ELT Development
Build end-to-end ingestion and transformation pipelines
Orchestrate workflows using ADF and Databricks
💻 Programming & Automation
SQL (T-SQL – Azure SQL)
Python or Scala (Databricks)
PowerShell for automation
📊 Big Data & Analytics
Apache Spark on Databricks
Large-scale data processing and performance tuning
🔐 Data Governance & Security
RBAC implementation
Data encryption and compliance controls
Azure Key Vault for secrets management
📈 Monitoring & Optimization
Azure Monitor
Log Analytics
Pipeline & query performance tuning
Roles & Responsibilities
📥 Data Ingestion & Integration
Ingest data from on-prem systems, cloud platforms, and APIs
Build scalable pipelines using ADF and Event Hub
🔧 Data Transformation
Clean, normalize, and enrich data
Apply business logic in ETL/ELT workflows
🗄 Data Storage & Management
Design and maintain Data Lake and Data Warehouse
Optimize storage for cost and performance
🤝 Collaboration
Work closely with Data Scientists, BI Developers, and Architects
Ensure data quality and availability
🛡 Security & Compliance
Enforce governance policies
Ensure regulatory compliance (GDPR, HIPAA, etc.)
⚡ Performance & Cost Optimization
Monitor workloads
Scale Azure resources efficiently
