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Senior Databricks Architect
Senior Databricks ArchitectJio • Mumbai, Maharashtra, India
Senior Databricks Architect

Senior Databricks Architect

Jio • Mumbai, Maharashtra, India
30+ days ago
Job description

About the Role

We are seeking a Senior Databricks Architect to lead the design and implementation of scalable secure and cost-optimized data platforms on Azure using Databricks. You will own end-to-end architecture for data ingestion transformation governance and analytics and mentor engineering teams to deliver high-quality data solutions.

Key Responsibilities

  • Architect and implement enterprise-grade data platforms on Azure Databricks (DLT Workflows Unity Catalog) with strong security governance and reliability.
  • Design end-to-end data pipelines : batch and streaming (Structured Streaming) CDC and near real-time analytics.
  • Define and enforce data modeling standards (3NF dimensional modeling / starsnowflake data vault where applicable).
  • Optimize Databricks workloads (cluster sizing autoscaling Delta Lake file management Z-Ordering OPTIMIZE / VACUUM) for performance and cost.
  • Establish best practices for code (PySpark / Scala / SQL) notebooks repos / CI-CD testing observability and documentation.
  • Integrate with broader Azure ecosystem : ADLS Gen2 ADF / Synapse pipelines Azure SQL / MI Azure Key Vault Event Hubs / Kafka Azure Functions / Logic Apps.
  • Drive data governance lineage and access control with Unity Catalog data masking and RBAC / ABAC; align with organizational compliance (GDPR / DPDP SOC2).
  • Collaborate with security / network teams on private networking (VNet injection) peering firewall rules Private Link NSGs VPN / ExpressRoute.
  • Lead capacity planning SLAs / SLOs incident response and cost management (photon serverless job vs all-purpose clusters).
  • Partner with stakeholders (data science BI product) to translate business requirements into scalable data solutions.
  • Mentor and upskill data engineers; perform code / design reviews; establish architectural guardrails and reference architectures.

Required Qualifications

  • 810 years of professional experience in data engineering / architecture with at least 3 years hands-on in Databricks on Azure.
  • Strong data modeling expertise : relational 3NF dimensional (Kimball) and practical experience with Delta Lake / medallion architecture.
  • Advanced programming skills : PySpark and / or Scala; solid grasp of OOP principles and design patterns in data engineering contexts.
  • Expert SQL skills (analytic / window functions performance tuning query optimization).
  • Deep experience with Azure services : ADLS Gen2 ADF / Synapse Azure SQL / MI Event Hubs; identity and security (AAD service principals managed identities Key Vault).
  • Hands-on with Databricks features : Delta Live Tables Unity Catalog Workflows Repos / CI-CD cluster policies Jobs API.
  • Networking fundamentals for cloud data platforms : VNet design subnets routing Private Link / Endpoints peering DNS firewalling.
  • Database fundamentals : relational and NoSQL (e.g. PostgreSQL SQL Server Cosmos DB) indexing partitioning transactions.
  • Proven track record building robust ELT / ETL pipelines CDC (e.g. with Auto Loader Kafka) and streaming architectures.
  • Experience with DevOps practices : Git CI-CD (Azure DevOps / GitHub Actions) Infrastructure-as-Code (Terraform / ARM / Bicep preferred).
  • Strong communication stakeholder management and leadership / mentoring experience.
  • Bachelors degree in Computer Science / Engineering or related field from a reputed Indian college / institute.
  • Preferred / Good-to-Have

  • Databricks certifications (Databricks Certified Data Engineer Professional Machine Learning Professional or Architect Associate).
  • Experience with BI tools and semantic layers (Power BI dbt Tabular models).
  • Exposure to MLOps and feature stores (Databricks Feature Store) and model serving.
  • Cost governance experience : chargeback / showback cluster policy enforcement utilization dashboards.
  • Knowledge of data privacy and compliance frameworks (DPDP Act GDPR HIPAA as applicable).
  • Required Experience :

    Manager

    Key Skills

    Apache Hive,S3,Redshift,Spark,AWS,Solr,NoSQL,Data Warehouse,Internet Of Things,Kafka,DynamoDB,ZooKeeper

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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