> Markdown version of [/jobs/ext/4638112-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/4638112-databricks-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Databricks Engineer

- **Company:** CGI Technologies and Solutions, Inc.
- **Location:** Lafayette, LA, United States
- **Experience:** Experienced
- **Salary:** $58,100.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Performance Tuning, Power BI, Cloud Services, Search Technologies, SQL Databases, Data Streaming, Tableau (Software), Enterprise Data Management, Feature Store, Enterprise Software Applications, Azure Data Factory, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Apache Spark, Generative AI, Agentic-AI, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Data Management, Machine Learning Operations, Stream Processing, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** November 8, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3505220824&tx=DT11101UTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

At least 5+ years of experience in Data Engineering, Big Data, Cloud Data Platforms, or Analytics Engineering.

2+ years of hands on Databricks experience delivering enterprise data and analytics solutions.

. Strong expertise with Databricks Lakehouse Platform, Delta Lake, Apache Spark, Unity Catalog, and Databricks Workflows.

. Proficiency in Python, SQL, and PySpark.

. Experience with Azure, AWS, or GCP.

. Experience building dashboards using Power BI, Databricks SQL Dashboards, Tableau, or equivalent BI tools.

. Knowledge of Spark optimization, performance tuning, monitoring, CI/CD, and DevOps practices.

. Strong consulting, communication, and customer facing skills.

. Demonstrated commitment to staying current with Databricks releases, cloud technologies, analytics, AI, and industry best practices., Databricks Data Engineer Associate/Professional or Databricks Solutions Architect certification.

. Experience with Microsoft Fabric, Azure Data Factory, Synapse Analytics, or similar modern data platforms.

. Experience with MLflow, MLOps, Feature Stores, and AI/ML lifecycle management.

. Experience with Generative AI, LLMs, Vector Search, RAG architectures, and Model Serving.

. Familiarity with Databricks Lakehouse Platform for Analytics (LTAP).

. Understanding of Databricks Genie, conversational analytics, and AI powered BI capabilities.

. Understanding of Agent Bricks / Agentic AI patterns, agent orchestration frameworks, and enterprise AI implementations.

. Experience with Structured Streaming and real time data processing.

. Enterprise data warehouse modernization and cloud migration experience.

Education: Bachelor's degree in computer science on related field.

## Description

We CGI is seeking an experienced Databricks Engineer to join our AI Cloud Engineering (ACE) Practice. Team members will deliver POCs, pilots, and production solutions while supporting client engagements across the United States.

This is a Full-Time, On-Site employment opportunity located in Lafayette, LA in a Hybrid Model.

Your future duties and responsibilities

. Design, develop, and support enterprise scale data and analytics solutions using the Databricks Lakehouse Platform.

. Collaborate with Enterprise Technology Practice leaders, solution architects, and client teams to deliver POCs, pilots, and production implementations.

. Build and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, Unity Catalog, and Databricks Workflows.

. Develop ETL/ELT processes for batch and streaming data integration.

. Optimize Databricks and Spark workloads for performance, scalability, reliability, and cost efficiency.

. Implement data governance, security, lineage, and data quality best practices.

. Support migration and modernization initiatives from legacy data platforms to Databricks Lakehouse architectures.

. Partner with analytics, AI/ML, and business stakeholders to enable MLflow, MLOps, GenAI, and LLM use cases.

. Design and develop reporting and visualization solutions using Power BI, Databricks SQL Dashboards, Tableau, or similar platforms.

. Participate in solution design workshops, client presentations, architecture reviews, and technical discovery sessions.

. Contribute to reusable accelerators, reference architectures, best practices, and innovation initiatives.

. Mentor junior engineers and support client engagements across the U.S. as needed.