E-Solutions
Azure Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Architect, remote, with a contract length of unspecified duration and a pay rate of "unknown." Requires 5+ years in data engineering, 2+ years with Azure services, SQL, Python proficiency, and experience in enterprise data platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Storage #Infrastructure as Code (IaC) #Synapse #Datasets #Compliance #Apache Iceberg #Data Engineering #Scala #Apache Spark #DevOps #Azure ADLS (Azure Data Lake Storage) #Security #Delta Lake #Azure Data Factory #Spark (Apache Spark) #ML (Machine Learning) #Data Science #Azure SQL #SQL (Structured Query Language) #Databricks #GitHub #Azure Databricks #Data Architecture #Batch #Data Lake #Vault #Python #Data Modeling #AI (Artificial Intelligence) #ADLS (Azure Data Lake Storage) #Data Governance #Azure DevOps #Azure #Kafka (Apache Kafka) #ADF (Azure Data Factory) #Terraform
Role description
Azure Data Architect
Remote
About the Role
We are seeking a mid-level Data Architect to design and evolve modern Azure-based data lake and lakehouse platforms that enable enterprise analytics and AI/ML use cases. This role partners closely with data engineering, data science, and product teams to define scalable, secure, and governable data architectures.
Key Responsibilities
Design end-to-end Azure data lake / Lakehouse architectures for batch and streaming workloads.
Define data modeling standards and curated datasets for analytics and AI/ML consumption.
Enable AI/ML data workflows including training datasets, feature-ready data, and MLOps integration.
Establish data governance, security, lineage, and compliance-by-design.
Create architecture artifacts such as diagrams, reference patterns, and ADRs.
Guide engineering teams through design reviews and implementation best practices.
Optimize platform performance, scalability, reliability, and cost.
Core Technology Stack
Azure Data Lake Storage Gen2 (ADLS)
Azure Databricks / Apache Spark
Azure Data Factory (ADF)
Azure Synapse / Azure SQL / Databricks SQL
Event Hubs / Kafka (preferred)
Microsoft Purview / Unity Catalog (preferred)
Azure AD, RBAC, Managed Identity, Key Vault
CI/CD with Azure DevOps or GitHub, Infrastructure as Code (Terraform/Bicep)
Required Qualifications
5+ years of experience in data engineering, analytics platforms, or data architecture roles.
2+ years of hands-on experience with Azure data services.
Strong understanding of data modeling, integration patterns, and lakehouse concepts.
Experience designing secure and governed enterprise data platforms.
Proficiency in SQL and Python.
Ability to communicate architecture clearly to both technical and non-technical stakeholders.
Preferred Qualifications
Experience supporting AI/ML and MLOps data workflows.
Hands-on exposure to Microsoft Purview and Databricks Unity Catalog.
Knowledge of Delta Lake or Apache Iceberg.
Azure certifications such as Azure Data Engineer or Azure Solutions Architect.
Azure Data Architect
Remote
About the Role
We are seeking a mid-level Data Architect to design and evolve modern Azure-based data lake and lakehouse platforms that enable enterprise analytics and AI/ML use cases. This role partners closely with data engineering, data science, and product teams to define scalable, secure, and governable data architectures.
Key Responsibilities
Design end-to-end Azure data lake / Lakehouse architectures for batch and streaming workloads.
Define data modeling standards and curated datasets for analytics and AI/ML consumption.
Enable AI/ML data workflows including training datasets, feature-ready data, and MLOps integration.
Establish data governance, security, lineage, and compliance-by-design.
Create architecture artifacts such as diagrams, reference patterns, and ADRs.
Guide engineering teams through design reviews and implementation best practices.
Optimize platform performance, scalability, reliability, and cost.
Core Technology Stack
Azure Data Lake Storage Gen2 (ADLS)
Azure Databricks / Apache Spark
Azure Data Factory (ADF)
Azure Synapse / Azure SQL / Databricks SQL
Event Hubs / Kafka (preferred)
Microsoft Purview / Unity Catalog (preferred)
Azure AD, RBAC, Managed Identity, Key Vault
CI/CD with Azure DevOps or GitHub, Infrastructure as Code (Terraform/Bicep)
Required Qualifications
5+ years of experience in data engineering, analytics platforms, or data architecture roles.
2+ years of hands-on experience with Azure data services.
Strong understanding of data modeling, integration patterns, and lakehouse concepts.
Experience designing secure and governed enterprise data platforms.
Proficiency in SQL and Python.
Ability to communicate architecture clearly to both technical and non-technical stakeholders.
Preferred Qualifications
Experience supporting AI/ML and MLOps data workflows.
Hands-on exposure to Microsoft Purview and Databricks Unity Catalog.
Knowledge of Delta Lake or Apache Iceberg.
Azure certifications such as Azure Data Engineer or Azure Solutions Architect.
