About this role
End-to-End Data Architecture • Collaborate with Databricks PS and customer • on comprehensive end-to-end data architecture on Databricks platform • Design and implement data ingestion strategies from various source systems • Architect scalable storage solutions leveraging Delta Lake and lakehouse architecture • Develop efficient data processing frameworks using Apache Spark and Databricks workflows • Create data consumption layers for analytics, reporting, and machine learning use cases • Ensure seamless data flow across the entire data lifecycle Governance, Security & Compliance • Collaborate with Databricks PS on implementing robust governance frameworks • Design and enforce security policies and access controls within Databricks environments • Ensure compliance with regulatory requirements and industry standards • Implement data lineage, audit trails, and monitoring capabilities • Optimize performance through best practices in cluster configuration and query optimization • Establish data quality standards and validation processes Data Modelling & Design • Define business-aligned data models that support organizational objectives • Design Delta table structures optimized for performance and scalability • Create dimensional and normalized data models based on business requirements • Implement medallion architecture (Bronze, Silver, Gold layers) for data refinement • Develop data schemas that support both analytical and operational workloads • Document data models and maintain data dictionaries Technical Leadership & Collaboration • Lead technical discussions with clients and stakeholders to understand business requirements • Provide technical guidance to development teams on Databricks best practices • Work closely with Infrastructure (Infra), Applications (Apps), and Cyber teams for integrated delivery • Mentor junior architects and engineers on Databricks technologies • Present solution architectures and technical recommendations to client leadership Solution Implementation • Oversee implementation of Databricks solutions from design through deployment • Ensure solutions meet performance, scalability, and reliability requirements • Support proof-of-concepts and pilot implementations • Conduct architecture reviews and ensure alignment with enterprise standards
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