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Azure Data Architect

Azure Data Architect

Brillio

10 - 17 years

30 - 40 Lacs

hyderabad pune bengaluru

Posted:1 day ago| Platform:

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Skills Required

azure data factory azure analytics data architecture etl data bricks azure synapse azure databricks azure data lake microsoft azure data lake

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: Azure Data Architect

Location: [Insert Location]

Employment Type: Full-Time

Department: Data & Analytics / Cloud Engineering

Role Overview

Azure Data Architect

Key Responsibilities

Architect and implement scalable data solutions using Azure services: Data Factory, Data Lake Gen2, Azure SQL, Analysis Services, Databricks, and HDInsight.
Design and develop enterprise frameworks, reusable components, and data models aligned with business requirements and industry standards.
Lead ETL/ELT development using Spark, Python, and PySpark; optimize performance and ensure data quality.
Configure and manage Azure Event Hub for real-time streaming data ingestion from IoT devices.
Evaluate and enhance existing HDInsight ETL pipelines; recommend best practices and improvements.
Compare and assess ETL tools (e.g., Databricks vs. ADF) for optimal use cases.
Implement and validate metadata catalog quality using Collibra; enforce data governance policies.
Conduct data profiling, quality assessments, and certification mechanisms based on business rules.
Collaborate with Scrum Masters and PMO to plan deliverables, estimate effort, and drive sprint execution.
Support presales activities including RFP creation, solution presentations, and client workshops.
Communicate complex data insights clearly and effectively across technical and non-technical audiences.
Apply machine learning techniques using Azure ML for advanced analytics and predictive modeling.

Required Skills & Qualifications

12+ years of IT experience with 5+ years in Azure cloud technologies.
Hands-on expertise in Azure data services: ADF, Data Lake Gen2, Azure SQL, Analysis Services, Databricks, HDInsight.
Strong programming skills in Python, PySpark, and Spark.
Experience with real-time data streaming and IoT data analysis.
Proficiency in data modeling, database design, and enterprise architecture patterns.
Knowledge of data governance tools like Collibra and best practices in metadata management.
Familiarity with CI/CD automation, accelerators, and reusable components.
Excellent analytical, problem-solving, and communication skills.
Experience with Azure ML and machine learning workflows.

Preferred Qualifications

Azure Solutions Architect or Data Engineer certification.
Experience in consulting and delivering enterprise data governance frameworks.
Exposure to hybrid cloud environments and Microsoft ecosystem integration.

What We Offer

Competitive compensation and performance incentives
Flexible work arrangements and remote options
Opportunities for professional growth and certification
Collaborative and innovative team culture

Would you like this formatted into a presentation-style RFP or tailored for a specific industry or client pitch? I can help with that too.

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