Databricks Specialist Purpose: Over 15 years, we have become a premier global provider of multi-cloud management, cloud-native application development solutions, and strategic end-to-end digital transformation services. Headquartered in Canada and with regional headquarters in the U.S. and the United Kingdom, Centrilogic delivers smart, streamlined solutions to clients worldwide. We are looking for passionate and experienced Data Engineer to work with our other 70 Software, Data and DevOps engineers to guide and assist our clients data modernization journey. Our team works with companies with ambitious missions - clients who are creating new, innovative products, often in uncharted markets. We work as embedded members and leaders of our clients'' development and data teams. We bring experienced senior engineers, leading-edge technologies and mindsets, and creative thinking. We show our clients how to move to the modern frameworks of data infrastructures and processing, and we help them reach their full potentials with the power of data. In this role, you''ll be the day-to-day primary point of contact with our clients to modernize their data infrastructures, architecture, and pipelines. MUST HAVE: In order to apply for this role, you must have the following: Databricks Data Engineer Professional certification. OR At least 5 years experience with mid to large Databricks data platform implementations. AND Past working experience in technology consulting for external clients in data management and modernization programs. Principal Responsibilities: Advise clients on cloud-first strategies for large data modernization initiatives; Develop data modernization strategy from assessment and discovery to platform implementation and enablement; Develop end-to-end data architecture, including infrastructure, collection, transmission, processing, and analytics; Act as technical product leader for Centrilogic and client teams that provide designing, developing, deploying, and testing support for data modernization and transformation programs of our client; Mentor and educate clients teams to keep them up to speed with the latest approaches, tools and skills, and setting them up for continued success post delivery; Become a champion, trusted advisor, and thought leader to our clients on matters related to data engineering, management, and governance, for select customer accounts; Required Experience and Skills: Experience with data engineering, on platforms such as Azure Data Factory, Databricks, Data Lake, and Synapse; Strong knowledge and demonstrated experience with Delta Lake and Lakehouse Architecture; Strong knowledge of securing Azure environment, such as RBAC, Key Vault, and Azure Security Center; Strong knowledge of Kafka and Spark and extensive experience using them in a production environment; Strong knowledge of Confluent Platform and Confluent Cloud; Strong knowledge of Scala or Python; Strong knowledge of Linux administration and networking; Infrastructure as Code (IaC) experience using PowerShell, Bash, and ARM templates; Understanding of security and corporate governance issues related with cloud-first data architecture, as well as accepted industry solutions; Experience in enabling continuous delivery for development teams using scripted cloud provisioning and automated tooling; Experience working with Agile development methodology, as applicable to data program and that is fit for purpose; Sound business judgment and demonstrated leadership
Job Title
Databricks Specialis