Databricks Architect with AI

Company: Trinex Global

Job Type: Full-time / Contract

Location: Ahmedabad, Gujarat

Experience: 15+ years

Contract Duration: 12 months

Compensation

- Contract: ₹2,20,000 per month
- FTE: Up to ₹31,00,000 per annum

Job Overview Trinex Global is looking for an experienced Databricks Data Architect to lead the architecture and implementation of enterprise-scale data platforms using Databricks Lakehouse.

The role requires solid experience in data architecture, modern data engineering, dimensional modeling, cloud platforms, and AI-enabled data solutions. The selected professional will be responsible for driving architecture decisions, engineering standards, performance optimization, and technical governance.

Key Responsibilities

- Design and lead enterprise-scale Databricks Lakehouse architectures.
- Define scalable, secure, and reusable data architecture standards.
- Design and implement ETL/ELT pipelines using PySpark, Spark SQL, and Databricks.
- Develop Bronze, Silver, and Gold data layers using Delta Lake and Medallion Architecture.
- Design and optimize Delta Lake storage, partitioning, performance, and data lifecycle strategies.
- Implement Databricks Workflows/Lakeflow for orchestration and automation.
- Establish data quality, validation, reconciliation, and monitoring frameworks.
- Design enterprise data models using dimensional modeling, Star Schema, Fact and Dimension tables, and SCD.
- Define business metrics, KPI layers, semantic models, and Metric Views.
- Lead data warehouse migration and modernization initiatives.
- Drive CI/CD and DevOps practices across data engineering projects.
- Conduct architecture and code reviews and provide technical guidance to engineering teams.




- Troubleshoot complex architecture and performance issues.
- Work with client architects, business stakeholders, and technical teams to translate requirements into scalable solutions.
- Define target-state architecture, technical roadmaps, and governance standards.

AI and Modern Data Capabilities
- Experience integrating AI/ML capabilities with modern data platforms.
- Understanding of AI-ready data architecture and curated datasets.
- Experience designing data foundations for AI and Generative AI use cases.
- Exposure to modern Databricks AI capabilities is an advantage.

Required Technical Skills

Databricks and Data Engineering

- Databricks Lakehouse Architecture
- Delta Lake
- Unity Catalog
- Databricks SQL
- Databricks Workflows / Lakeflow
- PySpark and Spark SQL
- ETL / ELT
- Batch and Incremental Processing
- Performance Tuning and Optimization

Data Architecture and Modeling

- Enterprise Data Architecture
- Dimensional Data Modeling
- Star Schema
- Fact and Dimension Modeling
- Slowly Changing Dimensions (SCD)
- Metric Views
- Data Quality and Governance

Cloud and Tools

- Azure Databricks
- ADLS Gen2
- Azure Data Factory
- Batch and Event-Based Ingestion
- Python
- SQL
- Git and CI/CD

Good to Have
- Data Warehouse Modernization / Legacy EDW Migration
- Medallion Architecture
- Data Mesh
- Data Governance




- Metadata Management and Data Cataloging
- Power BI, Tableau, or Looker
- AI/ML and Generative AI data solutions

Candidate Profile The ideal candidate should have:
- 15+ years of relevant experience in data architecture and engineering.
- Strong experience owning end-to-end Databricks architecture and implementation.
- Experience defining target-state architecture and technical roadmaps.
- Strong leadership and mentoring capabilities.
- Excellent communication and stakeholder-management skills.
- Ability to drive architecture decisions across multiple teams and workstreams.
- Strong understanding of scalability, security, performance, and maintainability.

Mandatory Skills

Data Architecture and Databricks

How to Apply

Interested candidates can share their updated CV at:

[email protected]

Please mention "Databricks Architect" in the email subject line.

Note: Please apply only if your experience and technical skills closely match the requirements mentioned above.

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Pay: Up to ₹3,100,000.00 per year

Work Location: In person

📌 Databricks Architect with AI (Ahmedabad)
🏢 Shekhar salve123
📍 Ahmedabad