[LVQ5UMD6] Databricks Data Architect

Hello All,

Greetings from ZettaMine!!!

Role: Databricks Data Architect

Experience: 15 Years

Location: Ahmedabad

Notice Period: Immediate Joiners

Hiring for one of the Big 4's Clients

We are seeking an experienced Databricks Data Architect to lead the design architecture and implementation of enterprise-scale data platforms on Databricks. The ideal candidate should possess strong expertise in modern data engineering practices, dimensional data modeling, and Databricks Lakehouse architecture.

Responsibilities

• Design and implement enterprise-scale data platforms using the Databricks Lakehouse architecture
• Define end-to-end 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
• Design and build scalable ETL/ELT 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
• 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 closely with business stakeholders to translate requirements into scalable analytical models
• Provide technical leadership and mentorship to data engineers and developers
• Perform code reviews and ensure adherence to architecture standards
• Troubleshoot complex technical issues and guide teams in solution design
• Support estimation, solution proposals, and technical governance activities
• Drive adoption of modern data engineering and cloud-native best practicesRequirements
• Databricks Lakehouse Architecture
• Databricks Workflows Lakeflow
• Delta Lake
• Unity Catalog
• Databricks SQL
• Performance Tuning Optimization
• Data Engineering
• PySpark
• Spark SQL
• ETL ELT Design
• Data Pipeline Development
• Data Quality Frameworks
• Batch and Incremental Processing
• Data Modeling
• Dimensional Data Modeling
• Star Schema Design
• Fact Dimension Modeling
• Slowly Changing Dimensions SCD
• Metric View Design
• Analytical Data Modeling
• Cloud Integration
• Azure Databricks preferred
• ADLS Gen2
• Azure Data Factory ADF
• Event-based and Batch Ingestion Patterns
• Data Governance and Security
• Programming
• Python
• SQL
• Git
• CICD Frameworks

Interested candidates kindly share your updated CV to aruna.m@zettamine.com or WhatsApp to 6302404863.

Thanks & Regards,

Aruna.M