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DATA Architect

Job in 500001, Hyderabad, Telangana, India
Listing for: ESB Technologies
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Engineering, Azure, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Position: DATA ARCHITECT (Multiple Locations
DATA ARCHITECT

Experience:

6–13 Years
Locations:
Hyderabad / Bangalore / Chennai / Pune / Mumbai

Note:

Candidate from any location any apply
Required Technical Skills
Design, develop, and govern robust, scalable, and secure data architectures on Microsoft Azure to support analytics, AI/ML, and GenAI workloads.
Architect and manage Azure-native data platforms including:
Azure Data Lake Storage
Azure Synapse Analytics
Azure SQL
Azure Data Factory
Define data ingestion, transformation, and storage strategies aligned to modern cloud data patterns such as:
Lakehouse Architecture
Medallion Architecture
Must Have Skills
Strong hands-on experience in Azure Data Architecture for enterprise-scale systems.
Proficiency in Python and SQL for data transformation, validation, and performance optimization.
Extensive experience with ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or equivalent orchestration tools.
Strong understanding of:
Azure Data Lake
Azure Synapse Analytics
Azure SQL
Data Warehousing Concepts
Experience defining and enforcing:
Data Governance
Data Quality
Data Lineage
Access Controls
using Azure-native or integrated tools (e.g., Microsoft Purview).
Good to Have

Experience with Vector Databases, embeddings, and data chunking strategies for Azure OpenAI / GenAI use cases.
Familiarity with AI/ML data preparation, feature engineering, and model-ready datasets.
Knowledge of Azure security, networking, and compliance controls applied to data platforms.
Responsibilities
Design and implement scalable, secure Azure-based data architectures supporting analytics, AI/ML, and GenAI initiatives.
Build and maintain ETL/ELT pipelines using Azure-native tools.
Orchestrate complex Azure data workflows ensuring reliability, availability, and performance.
Define and enforce data governance policies including data quality, lineage, retention, and access management.
Ensure security, compliance, and cost optimization of Azure data platforms.
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