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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Engineer - **Company:** Cgi Inc. - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $98,100.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Migration, Data Warehousing, Software Design Documents, Software Design Patterns, DevOps, Apache Hive, Python (Programming Language), Performance Tuning, SQL Databases, Feature Store, Google Cloud, Cloud Platform System, Azure Data Factory, Delivery Pipeline, Apache Spark, Git, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Bicep, AWS Data Analytics, Machine Learning Operations, Terraform, Data Pipelines, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.dice.com/job-detail/2d4556f9-94b7-43e2-bbcd-bb2581511b45 ## About the Role 4+ years of experience in data engineering, with at least 2 3 years of hands on Databricks experience. . Strong proficiency in Python (PySpark) and SQL. . Solid understanding of Apache Spark internals and performance tuning. . Hands on experience with Delta Lake and lakehouse design patterns. . Experience working on at least one major cloud platform (Azure, AWS, or Google Cloud Platform). . Experience building production grade ETL/ELT pipelines, including batch and streaming. . Working knowledge of data modeling (dimensional, lakehouse) and data warehousing concepts. . Experience with Git and CI/CD practices. . Strong communication skills and the ability to work directly with clients and stakeholders. . Demonstrated interest in and aptitude for growing into an architecture role (curiosity about design trade offs, "why" behind decisions, and big picture thinking). Desired (nice to have): . Databricks certifications (e.g., Data Engineer Associate/Professional, Solutions Architect). . Cloud certifications (e.g., Azure Data Engineer, AWS Data Analytics, Google Professional Data Engineer). . Experience with Unity Catalog, Delta Live Tables, and Databricks Asset Bundles. . Infrastructure as code experience (Terraform, Bicep, or similar). . Exposure to data governance, security, and compliance frameworks. . Experience with ML/MLOps workflows (MLflow, feature stores). . Prior consulting or client facing delivery experience. . Experience leading or mentoring junior team members. . Familiarity with data migration or modernization projects (e.g., legacy warehouse to lakehouse). ## Description This is a rare opportunity to step into a Senior Consultant role on a modern data platform with a clear, supported path to becoming a Databricks Architect. You'll be hands on with Databricks and the Lakehouse ecosystem from day one, while being deliberately mentored into architecture: design reviews, solution patterns, stakeholder conversations, and technical decision making. This role is located in Houston, TX and can be performed in a Hybrid model. What makes this role stand out: . Defined growth path: Structured mentorship from experienced architects, with increasing ownership of design decisions over time. We invest in your development rather than expecting you to arrive fully formed. . Modern technology stack: Work with current Databricks capabilities (Delta Lake, Unity Catalog, Delta Live Tables, Workflows, MLflow) across major cloud platforms. . Variety and visibility: Consulting exposure across industries and problem types, so your skills broaden quickly and you build a strong professional profile. . Collaborative team culture: Work alongside engineers, architects, analysts, and data scientists who share knowledge openly, run design reviews, and value curiosity. . Learning support: Access to certifications (Databricks and cloud), training time, and conference or community opportunities. Future Duties and Responsibilities . Design, build, and optimize scalable data pipelines (batch and streaming) on Databricks using PySpark, Spark SQL, and Delta Lake. . Implement medallion architecture patterns (bronze/silver/gold) and apply data modeling best practices. . Develop and maintain orchestration using Databricks Workflows and/or tools such as Azure Data Factory or Airflow. . Apply data governance, security, and access control practices (e.g., Unity Catalog, role based access, lineage, data quality). . Tune performance and manage cost across clusters, jobs, and storage. . Build CI/CD and DevOps practices for data workloads (Git, automated testing, infrastructure as code, deployment pipelines). . Participate in solution design sessions and architecture reviews, progressively leading design for components and then full solutions. . Translate business requirements into technical designs and communicate trade offs clearly to technical and non technical stakeholders. . Produce clear technical documentation, including design documents and architecture diagrams. . Mentor junior engineers through code reviews and knowledge sharing. . Contribute to reusable frameworks, accelerators, and best practice standards for the wider practice. . Work with the team on a personal development plan toward an architect role, taking on stretch assignments such as pre sales support, technical assessments, and platform roadmaps.