Role description
Role Databricks Architect
Primary Skill Databricks
Experience in Years 15 years
Location NonLocation Remote
Interview Panel Calendar in Place YN Homesh Patil
Must Have Skills
Architecture Solution Design
Design and implement enterprisescale Databricks Lakehouse solutions using Bronze Silver and Gold layer architecture
Define data ingestion transformation orchestration and dataserving frameworks
Create scalable secure and highperforming data architectures aligned with business goals
Develop solution blueprints architecture diagrams and technical design documents
Data Platform Modernization
Lead migration of legacy data warehouses and data platforms to Databricks
Establish reusable frameworks for ingestion transformation data quality and monitoring
Define sourcetotarget mapping data models and modernization strategies
Governance Security Compliance
Implement data governance using Unity Catalog
Define access controls lineage auditing data security and compliance standards
Ensure adherence to enterprise architecture and security policies
Performance Cost Optimization
Optimize Spark workloads Delta Lake performance and cluster utilization
Recommend best practices for partitioning caching workload management and storage optimization
Drive cloud cost optimization initiatives
AI Analytics Innovation
Enable advanced analytics AIML Generative AI and selfservice analytics capabilities
Architect data foundations to support future AI and data science initiatives
Evaluate emerging Databricks features and accelerator frameworks
Leadership Stakeholder Engagement
Work closely with business stakeholders project managers architects and engineering teams
Conduct solution workshops architecture reviews and technical governance meetings
Mentor and guide data engineers and developers on Databricks best practices
Secondary Nice To Have Skills NOT MANDATORY
For insurance and financial services programs such as the Databricks modernization initiatives you frequently work on
Insurance Data Models
Policy Administration Systems
Claims Data Platforms
Reinsurance Data Management
Regulatory Reporting
Master Data Management MDM
Soft Skills
Stakeholder Management
Communication Presentation
Problem Solving
Leadership Mentoring
Strategic Thinking
3 Qualifying Questions
1 Can you describe an endtoend Databricks Lakehouse architecture you have designed and implemented
What to look for
Experience with Medallion Architecture Bronze Silver Gold
Integration with cloud services Azure AWS or GCP
Use of Delta Lake Unity Catalog and Data Governance
Scalability performance and cost optimization considerations
2 How have you handled data migration or modernization from legacy platforms to Databricks
What to look for
Experience migrating from Hadoop Teradata Snowflake SQL Server Netezza etc
Data ingestion frameworks and ETLELT modernization
Risk mitigation data validation reconciliation and cutover strategy
Business outcomes achieved through modernization
3 How do you ensure security governance and performance optimization in an enterprise Databricks environment
What to look for
Unity Catalog RBAC data masking and lineage
Cluster policies workload management and monitoring
Query optimization Delta Lake tuning partitioning and caching
Compliance requirements and best practices
Red Flags
Limited exposure beyond notebook development
No experience designing enterprisescale architectures
Inability to explain governance security or cost optimization strategies
Lack of cloud architecture knowledge
