We are seeking an experienced Databricks Data Architect to lead the design architecture and implementation of enterprisescale data platforms on Databricks The ideal candidate should possess strong expertise in contemporary data engineering practices dimensional data modeling and Databricks Lakehouse architecture
The candidate will act as the technical owner of the data platform providing architectural guidance establishing best practices mentoring development teams and ensuring successful delivery of scalable highperformance data solutions
Key Responsibilities
Architecture Solution Design
Design and implement enterprisescale data platforms using the Databricks Lakehouse architecture
Define endtoend data architecture including ingestion transformation storage governance and consumption layers
Establish architectural standards framework guidelines coding best practices and reusable design patterns
Lead technical decisions related to scalability performance optimization reliability and security
Conduct architecture reviews and provide recommendations to project teams
Data Engineering Databricks Implementation
Design and build scalable ETLELT pipelines using PySpark on Databricks
Architect and implement Bronze Silver Gold data transformation frameworks
Design and manage Delta Lake based storage architecture including partitioning optimization and data lifecycle management
Implement Databricks Lakeflow pipelines for data orchestration and automation
Define data quality validation reconciliation and monitoring frameworks
Oversee CICD and DevOps practices for data engineering projects
Data Modeling Analytics Enablement
Design and implement enterprise data models using Dimensional Modeling techniques
Develop Star Schemas Fact Tables Dimension Tables and conformed dimensions
Define business metrics KPI layers and semantic models
Architect and implement Metric Views and curated Gold datasets for reporting and analytics
Work
📌 Associate Principal (Mumbai)
🏢 LTM
📍 Mumbai
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