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Urgent! Principal Data Platform Architect Job Opening In India, India – Now Hiring Jio Platforms Limited (JPL)

Principal Data Platform Architect



Job description

Work Locations: Mumbai OR Hyderabad OR Gurgaon


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/star–snowflake, 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 architecturalguardrails and reference architectures.


Required Qualifications

  • 8–10 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.
  • Bachelor’s 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 Skill Profession

Computer Occupations



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