Azure Data Architect

Job description

Walk-in at Hyderabad Date

25-Jul-26 Job Descriptions: The Data Architect / Lead is responsible for defining and governing the end‑to‑end data architecture for large‑scale manufacturing data modernization programs on Microsoft Fabric and Azure Data Services. This role acts as the technical authority and design owner.

Key Responsibilities

• Own the end‑to‑end data architecture across ingestion, storage, processing, governance, and consumption Define Fabric‑first reference architectures aligned to Bronze/Silver/Gold (Medallion) patterns
• Define data access patterns for analytics, reporting, and downstream applications
• Define data architecture standards, design patterns, and best practices
• Ensure alignment with Microsoft Purview
• Define data quality, validation, and reconciliation frameworks
• Enforce non ‑ functional requirements
• Guide implementation teams (Data Engineers, DevOps, Governance SMEs)
• Ensure reuse of standard frameworks and accelerators

Required Skills

Enterprise data architecture patterns Strong data modeling skills (analytical & canonical models) Microsoft Fabric Azure Data Services

Experience & Qualifications

10–15 years of experience in data architecture / data engineering 5+ years designing Azure ‑ based data platforms Experience leading large enterprise transformation programs Microsoft Fabric / Azure Data Engineer / Azure Solutions Architect certifications preferred 7. Azure Data Factory Engineer The Azure Data Factory Engineer will design, develop, and maintain cloud‑based data integration pipelines on Microsoft Azure.

The role requires hands‑on experience in ADF, Dataflows, Azure Integrat ion Runtimes, and enterprise data ingestion patterns.

Key Responsibilities

• Data Integration & Pipelines
• Cloud Data Engineering
• Governance & Security
• CI/CD & DevOps

Required Skills

Strong experience building ADF pipelines and dataflows. Experience with ADLS, Synapse, Databricks (basic), SQL. Experience integrating REST API, OAuth, service principals. Strong understanding of Lakehouse/Medallion architecture. Experience debugging pipeline failures and optimizing performance.

Experience & Qualifications

3–8 years of experience in data engineering Experience in working in Azure ‑ based data platforms Microsoft Fabric / Azure Data Engineer / Azure Solutions Architect certifications preferred Power BI Integration 8 . Azure Databricks Engineer The Azure Databricks Engineer will build scalable data pipelines, transformations, and Lakehouse solutions using Databricks (Spark, Delta Lake). This role involves development of batch/streaming jobs, data optimization, and implementing best practices for ETL and medallion architecture.

Key Responsibilities

• Spark/Databricks Development
• Data Lakehouse Engineering
• Integration & Orchestration
• Performance, Security & Governance
• DevOps & CI/CD

Required Skills

Strong hands-on experience with PySpark / Spark SQL . Strong experience with Delta Lake and Lakehouse design. Strong understanding of distributed computing and performance tuning. Experience working with ADLS Gen2. Experience building ETL/ELT pipelines and reusable frameworks. &nb

Qualifications

BACHELOR OF ENGINEERING