Databricks Architect with AI

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 strong 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