Databricks Architect

1 day ago

India Oracle Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Description

We are seeking an experienced Data Architect specializing in Databricks to lead the architecture, design, and migration of enterprise data workloads from on-premises systems (e.g., Oracle, Exadata, Hadoop) to Databricks on Azure or AWS. The role involves designing scalable, secure, and high-performing data platforms based on the medallion architecture (bronze, silver, gold layers), supporting large-scale ingestion, transformation, and publishing of data.



Responsibilities

Key Responsibilities 


• Define and design cloud-native data architectures on Databricks using Delta Lake, Unity Catalog, and related components. 


• Develop and execute migration strategies for moving on-premises data workloads (Oracle, Exadata, Hadoop) to Databricks on Azure or AWS. 


• Architect and oversee data pipelines that support ingestion, curation, transformation, and analytics within the bronze/silver/gold architecture model. 


• Lead data modeling, schema design, and performance optimization, ensuring scalability and governance compliance. 


• Collaborate with data engineering, platform, and security teams to deliver robust, production-ready solutions. 


• Establish standards for ingestion frameworks, orchestration (Airflow, Databricks Workflows), and data quality validation. 


• Drive cost optimization, scalability design, and operational monitoring best practices. 


• Mentor engineering teams, providing architectural guidance during development and migration phases. 

4. Qualifications & Skills 

Mandatory: 


• 10+ years in data architecture or engineering, including 3+ years in cloud-based big data environments. 


• Proven hands-on experience with Databricks on Azure or AWS. 


• Deep understanding of Delta Lake, Medallion Architecture, and data governance tools such as Unity Catalog or Purview. 


• Expertise in Spark (PySpark/Scala) and large-scale data processing optimization. 


• Strong background in migrating large datasets and batch/streaming pipelines from on-prem to cloud. 


• Familiarity with ingestion from RDBMS systems (Oracle, SQL Server) and Hadoop ecosystems. 


• Proficiency with orchestration tools like Databricks Workflows, Airflow, Azure Data Factory, or AWS Glue. 


• Solid grasp of cloud-native services—storage, compute, networking, and security. 

Good-to-Have: 


• Databricks Certified Data Engineer or Architect Certification. 


• Azure or AWS Cloud Certifications. 


• Experience with real-time data ingestion (Kafka, Kinesis, Event Hubs). 


• Knowledge of data quality frameworks (Deequ, Great Expectations). 


• Exposure to BFSI or financial data environments. 

Self-Assessment Questions 

Use the following questions to assess your readiness for this role: 

1. Have I architected or migrated enterprise-scale data solutions from on-premises systems (e.g., Oracle, Hadoop) to Databricks on Azure or AWS? 

2. Do I have hands-on experience implementing Medallion Architecture (bronze/silver/gold) and using Delta Lake effectively? 

3. Can I confidently design and optimize Spark-based data pipelines for performance and scalability? 

4. Have I worked with data governance and security frameworks such as Unity Catalog or Purview in a production environment? 

5. Am I comfortable acting as an individual contributor and architectural leader, collaborating across engineering and platform teams? 

Qualifications

Career Level - IC3

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