[MMSLBNCQ] Databricks Data Architect

Hello All,

Greetings from ZettaMine!!!

Role: Databricks Data Architect

Experience: 15 Years

Location: Ahmedabad

Notice Period: Immediate Joiners

Mandatory Skills : Data Architecture, Databricks

Hiring for one of the Big 4's Clients

We are looking for Immediate to 15 Days Joiners only

Description:

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 practices

Requirements

• 8+ years of experience in data architecture and engineering
• Strong expertise in modern data engineering practices, dimensional data modeling, and Databricks Lakehouse architecture
• Experience with Databricks, PySpark, Spark SQL, ETL/ELT design, data pipeline development, data quality frameworks, batch and incremental processing
• Strong leadership and mentorship skills
• Ability to work closely with business stakeholders to translate requirements into scalable analytical models

Interested candidates share your updated CV to praneeth.n@zettamine.com or WhatsApp to 8977318915.

Thanks& Regards,

Praneeth