Senior Data Engineer (Databricks & Cloud Analytics)

Senior Data Engineer (Databricks & Cloud Analytics)Are you passionate about building modern data platforms that enable organizations to make smarter, faster decisions? Do you thrive on solving complex engineering challenges using cloud technologies, big data frameworks, and modern analytics platforms? CGI is seeking an experienced Senior Data Engineer (Databricks & Cloud Analytics) to join our growing team in Salt Lake City, UT. In this role, you will partner with solution architects, business analysts, data scientists, and client stakeholders to design, develop, and support enterprise-scale data solutions that power mission-critical business initiatives for commercial and public sector clients.As a trusted technical consultant, you'll leverage technologies including Databricks, Apache Spark (PySpark), Azure Data Factory, Azure Data Lake, Kafka, Python, SQL, Scala, and cloud-native services to build high-performance data pipelines, modern integrations, and scalable analytics platforms. This is an excellent opportunity for an engineer who enjoys combining technical expertise with business problem-solving while working in a collaborative Agile environment focused on innovation, quality, and continuous improvement.This position is based onsite at a client location in the Salt Lake City, UT area.Why CGI? Joining CGI means becoming part of one of the world's largest IT and business consulting firms, where innovation, collaboration, and professional growth are at the core of everything we do. At CGI, you'll enjoy:Working on challenging enterprise and public sector projects that create meaningful impact.Opportunities to leverage cutting-edge cloud, analytics, AI, and big data technologies.A collaborative culture focused on mentorship, innovation, and continuous improvement.Access to ongoing professional development, technical training, and certification opportunities.Career growth supported by one of the world's most respected IT consulting organizations.A team environment where your expertise helps shape the future of digital transformation for our clients.Ready to build the next generation of enterprise data platforms? If you're passionate about designing scalable cloud data solutions, solving complex engineering challenges, and delivering innovative analytics capabilities that drive business outcomes, we encourage you to apply and join CGI's Data & Analytics team.As a Senior Data Engineer, you will play a critical role in designing, implementing, and supporting secure, scalable, and high-performing enterprise data platforms. Responsibilities include:Design, develop, test, deploy, and maintain enterprise data engineering solutions using modern cloud and big data technologies.Design and implement scalable ETL/ELT pipelines utilizing Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory.Build high-performance data ingestion, transformation, and integration frameworks supporting enterprise analytics and reporting.Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives.Build and integrate RESTful APIs, event-driven architectures, and legacy SOAP services to facilitate seamless enterprise data exchange.Develop and maintain streaming and messaging solutions using Apache Kafka.Monitor, troubleshoot, and optimize production data pipelines while performing root cause analysis and implementing long-term solutions.Implement data quality, governance, security, and performance best practices across enterprise platforms.Manage source code using Git while following CI/CD and enterprise DevOps best practices.Collaborate with Solution Architects, Product Owners, Business Analysts, and cross-functional engineering teams to translate business requirements into technical solutions.Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives.We're looking for an experienced engineer who enjoys solving complex technical challenges while delivering modern cloud-based data solutions.Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent professional experience)6+ years of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiativesStrong hands-on experience with:DatabricksApache Spark (PySpark)PythonSQLScalaExperience working with the Databricks ecosystem, including:Databricks WorkspacesDelta LakeUnity CatalogDelta Live Tables (DLT)Databricks SQLMLflowDatabricks JobsStrong SQL development experience, including query optimization and performance tuningExperience designing and implementing ETL/ELT solutions using Azure Data Factory or comparable cloud integration platformsExperience with Apache Kafka or other event streaming technologiesExperience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web servicesExperience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platformsExperience using Git for source code management and collaborative software developmentExperience working within Linux environments, including shell scripting and command-line utilitiesFamiliarity with Infrastructure as Code (IaC) tools such as Terraform is preferredExperience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar DevOps platforms is preferredStrong analytical, troubleshooting, and problem-solving skillsExperience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologiesDemonstrated ability to manage multiple priorities while delivering high-quality solutionsProven ability to work independently while mentoring teammates and contributing to technical leadershipDesired Skills:The ideal candidate will also possess experience with one or more of the following:Microsoft Azure cloud servicesAzure Synapse AnalyticsMicrosoft FabricPower BIData governance and metadata managementDataOps and MLOps practicesEnterprise data warehousingMaster Data Management (MDM)Financial services or public sector data environmentsCommunication & Collaboration: Successful candidates will demonstrate the ability to:Clearly communicate complex technical concepts to both technical and non-technical audiences.Collaborate effectively with architects, developers, business analysts, product owners, and client stakeholders.Build trusted relationships across cross-functional teams while delivering innovative, high-quality solutions.Foster a culture of knowledge sharing, continuous learning, and engineering excellence.Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $79,600.00 - $139,300.00.CGI's benefits are offered to eligible professionals on their first day of employment to include: Competitive compensation, comprehensive insurance options, matching contributions through the 401(k) plan and the share purchase plan, paid time off for vacation, holidays, and sick time, paid parental leave, learning opportunities and tuition assistance, wellness and well-being programs.