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Data Architect

Fresher   Bangalore   04 Jun, 2026
Wroots Global Private Limited
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    Job Title: Senior Azure Data Engineer (Databricks & PySpark)Experience: 12-18 Years Location:Bangalore Employment Type: Full-TimeJob SummaryWe are looking for a highly skilled Senior Azure Data Engineer with strong expertise in Azure Databricks, PySpark, and Lakehouse architecture. The ideal candidate will have extensive experience in building scalable data pipelines, optimizing big data workloads, and implementing secure, governed data platforms on Azure.Primary Skills (Must Have)
    • 6 years of experience in Azure Databricks with PySpark
    • 6 years of experience in Databricks Workflows & Unity Catalog
    • 5 years of experience in Azure Data Factory (ADF)
    • 5 years of experience in ADLS Gen2
    • 5 years of experience in Azure SQL
    • 5 years of experience in Azure Cloud Platform
    • 4 years of experience in Python programming & packaging
    Key ResponsibilitiesData Engineering & Lakehouse Development
    • Design, develop, and maintain Lakehouse solutions using Azure Databricks
    • Build pipelines for batch and near real-time data processing
    • Integrate data from ERP systems, APIs, RDBMS, NoSQL, and on-prem sources
    Databricks & Spark Optimization
    • Optimize Spark jobs using RDD/DataFrame APIs
    • Implement partitioning strategies & file format optimization (Parquet/Delta)
    • Tune Spark SQL performance and manage clusters, libraries, and runtime versions
    Data Governance (Unity Catalog)
    • Manage data access, permissions, and lineage using Unity Catalog
    • Integrate with Azure AD, external metastores, and audit frameworks
    Data Orchestration
    • Develop workflows using Azure Data Factory & Databricks Workflows
    • Build reusable pipelines with triggers, dependencies, and parameterization
    • Implement error handling and performance tuning strategies
    Storage & Data Management
    • Work with ADLS Gen2 implementing bronze-silver-gold architecture
    • Manage RBAC, ACLs, lifecycle policies, and storage optimization
    SQL & Metadata Management
    • Develop T-SQL queries, stored procedures
    • Maintain metadata layers on Azure SQL
    Azure Ecosystem & DevOps
    • Work with VNets, Private Endpoints, Key Vaults, Managed Identity
    • Implement monitoring via Azure Monitor
    • Automate deployments using Azure DevOps, ARM, Bicep, or Terraform
    Python Development
    • Write modular, reusable, and testable Python code
    • Manage environments using pip/Poetry/Conda
    • Implement unit testing using PyTest/unittest
    Leadership & Collaboration
    • Lead solution design discussions
    • Prepare HLD/LLD, architecture diagrams
    • Mentor junior engineers and ensure coding best practices
    • Collaborate with business stakeholders, QA, and product teams
    Soft Skills
    • Strong communication (verbal & written)
    • Good stakeholder management
    • Problem-solving and analytical thinking
    • Experience in Agile/Scrum (Jira/Azure DevOps)
    • Proactive and accountable work approach
    Expected Outcome
    • Build scalable data engineering solutions on Azure
    • Deliver high-quality, optimized, and governed data pipelines
    • Collaborate effectively across teams and stakeholders
    • Follow best practices in DevOps and data architecture
    Good to Have Skills
    • Experience with Azure Entra ID / Active Directory
    • Knowledge of GitHub Actions
    • Exposure to orchestration tools like Airflow, Dagster, Logic Apps
    • Experience with Kafka / Azure Event Hub (event-driven architecture)
    • Knowledge of Google Cloud Pub/Sub
    • Experience with CDC tools (Debezium)
    • Exposure to Azure Synapse & data migration projects
    • Experience with Google Cloud Storage

Keyskills :
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