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Cloud Architect

Job in 400001, Mumbai, Maharashtra, India
Listing for: Sourcebae
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Engineer, Azure, Cloud Computing
Job Description & How to Apply Below
Job Title:

Azure Databricks Architect

Location:

Indore / Pune

Experience:

6–8 Years
Notice Period:
Immediate

Job Summary
We are looking for an experienced  Azure Databricks Engineer  to design, develop, optimize, and manage large-scale data platforms on Azure Cloud. The candidate will be responsible for building batch and real-time data pipelines, managing Databricks infrastructure, and collaborating with cross-functional teams to enable data-driven solutions.

Key Responsibilities
Administer, configure, and optimize  Azure Databricks  platform.
Deploy and manage applications on Azure Databricks.
Configure and manage  Databricks Clusters and Unity Catalog .
Build and maintain large-scale  batch and real-time data pipelines .
Integrate data from multiple sources ensuring data quality and accessibility standards.
Work closely with data engineers, data scientists, architects, and business stakeholders.

Integrate Azure services such as:
Azure Data Factory
Azure Functions
Azure Data Lake Storage
Azure Event Grid
Azure Service Bus

Required Technical Skills
Strong experience in  Azure Cloud (5+ years mandatory)
Hands-on expertise in:
Azure Databricks
PySpark / Python
SQL (T-SQL, PL-SQL, Stored Procedures)
Azure Data Factory
Azure Data Lake
Azure Dev Ops (CI/CD)

Good to Have
Experience migrating legacy applications to Azure Cloud.
Exposure to Data Science model deployment on Databricks.
Experience in enterprise-grade data platform design.

Qualification
5+ years of Azure development experience.
Strong understanding of cloud architecture and big data systems.
Excellent communication and stakeholder management skills.

Ideal Candidate Profile
Strong in Python & Py Spark
Deep knowledge of Azure ecosystem
Experience handling large-scale distributed data environments
Ability to own projects end-to-end
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