Hello All,

Greetings from ZettaMine!!!

Role: Databricks Architect with AI

Experience: 15+ Years

Location: Ahmedabad

Notice Period: Immediate Joiners

Primary Skills: Databricks Lakehouse Architecture, Databricks Workflows Lakeflow, Delta Lake, Unity Catalog, Databricks SQL, Performance Tuning Optimization, Data Architecture,PySpark, Spark SQL, ETL ELT Design, Data Pipeline Development, Data Quality Frameworks, Batch and Incremental Processing

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 up-to-date 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
- Ability to design and implement enterprise-scale data platforms using the Databricks Lakehouse architecture
- Strong leadership and mentorship skills

Interested candidates share your updated CV to [email protected] or WhatsApp to (phone hidden).

Thanks& Regards,

Praneeth

📌 UCRR] Databricks Architect with AI (Ahmedabad)
🏢 ZettaMine Labs
📍 Ahmedabad