Databricks Engineer

Databricks Engineer

The best version of us starts with You! 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.

Required qualifications to be successful in this 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.

Skills:

• Data Engineering

What you can expect from us:

Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.