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 up-to-date data engineering and cloud-native best practices

Requirements

- 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 [email protected] or WhatsApp to (phone hidden).

Thanks & Regards,

Aruna.M

📌 Databricks Data Architect (Ahmedabad)
🏢 ZettaMine Labs
📍 Ahmedabad