Azure Data Architect

United, WV, US • Posted 1 day ago • Updated 1 day ago

Full Time

On-site

Fitment

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Job Details

Skills

ADF
Business Intelligence
Data Migration
Extract
Transform
Load
ELT
Meta-data Management
Data Quality
Collaboration
Roadmaps
Mentorship
Data Engineering
Data Architecture
Data Integration
Orchestration
Modeling
Testing
Documentation
SQL
Python
Data Modeling
Data Warehouse
Cloud Computing
Data Governance
Performance Tuning
Continuous Integration
Continuous Delivery
DevOps
Version Control
Stakeholder Management
Communication
Software Design
IT Management
Databricks
Apache Spark
PySpark
Data Lake
Storage
Microsoft Power BI
Analytics
BFSI
Insurance
Microsoft Azure
Snow Flake Schema

ADF
Business Intelligence
Data Migration
Extract
Transform
Load
ELT
Meta-data Management
Data Quality
Collaboration
Roadmaps
Mentorship
Data Engineering
Data Architecture
Data Integration
Orchestration
Modeling
Testing
Documentation
SQL
Python
Data Modeling
Data Warehouse
Cloud Computing
Data Governance
Performance Tuning
Continuous Integration
Continuous Delivery
DevOps
Version Control
Stakeholder Management
Communication
Software Design
IT Management
Databricks
Apache Spark
PySpark
Data Lake
Storage
Microsoft Power BI
Analytics
BFSI
Insurance
Microsoft Azure
Snow Flake Schema

Summary

Job Description

Role: Azure Data Architect
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Location: Remote
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Experience: 10+ years
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Duration: Full Time OR Contract
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Job Summary
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We are seeking an experienced Azure Data Architect with 10+ years of expertise in designing and delivering enterprise-scale cloud data platforms on Microsoft Azure. The ideal candidate will have strong hands-on experience with Azure Data Factory (ADF), Snowflake, and dbt, along with deep knowledge of data architecture, data modeling, governance, and cloud modernization. This role will define data architecture standards and design scalable solutions that support analytics and business intelligence requirements.
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Key Responsibilities
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Design and implement scalable, secure, and high-performing data architectures on Microsoft Azure.
Architect end-to-end data platforms leveraging Azure services, Snowflake, and dbt.
Define enterprise data models, integration patterns, architecture standards, and reusable frameworks.
Lead data migration and modernization initiatives from legacy platforms to Azure and Snowflake.
Design and optimize ETL/ELT pipelines and orchestration frameworks using Azure Data Factory and dbt.
Establish best practices for data governance, security, metadata management, lineage, and data quality.
Collaborate with business stakeholders, solution architects, and engineering teams to translate requirements into scalable technical solutions.
Drive architecture reviews, performance optimization, technology roadmap planning, and design governance.
Provide technical leadership, guidance, and mentoring to data engineering teams.

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Required Skills and Qualifications
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10+ years of experience in data engineering, data warehousing, data platforms, or data architecture.
Strong expertise in Microsoft Azure data services and cloud-native data architecture.
Hands-on experience with Azure Data Factory for data integration, pipeline development, and orchestration.
Strong experience architecting, implementing, and optimizing Snowflake data warehouse solutions.
Expertise in dbt for data transformation, modeling, testing, documentation, and deployment.
Strong proficiency in SQL, Python, and enterprise data modeling, including dimensional and normalized approaches.
Experience designing modern data lakes, data warehouses, and cloud-based analytics platforms.
Strong understanding of data governance, security, lineage, quality, and performance tuning.
Experience with CI/CD, Azure DevOps, version control, and deployment automation.
Excellent stakeholder management, communication, solution design, and technical leadership skills.

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Preferred Skills
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Experience with Azure Databricks and Spark/PySpark.
Knowledge of Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
Exposure to Power BI and enterprise analytics platforms.
Experience in BFSI or Insurance domain is an advantage.
Azure and/or Snowflake certifications are preferred.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: orcfeed
Position Id: 24495_29249_6e962d09a9783817
Posted 1 day ago

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