Databricks Developer

Overview In this role you will lead the data engineering function for QualityAI's cloud data platform, shaping the Databricks Lakehouse architecture and governance. You will mentor a growing team, set engineering standards, and collaborate with BI, Product, Security, and MLOps to deliver scalable data products. This position blends technical leadership with hands-on design to advance our AI-enabled data strategy. Join a fast-growing, inclusive company that values experimentation and continuous learning. Compensation / BenefitsTech academy with 3000+ training coursesInternal rotation and international mobilitySponsored certificationsLeadership programsBonuses via Client and Employee Referral ProgramsCareer progression opportunities ResponsibilitiesProvide technical leadership for the Data Engineering team through architecture guidance, code reviews, mentoring, and engineering best practicesMentor and develop junior and mid-level Data Engineers, fostering technical growth and knowledge sharingEstablish engineering standards for software development, testing, CI/CD, documentation, observability, and operational excellenceLead technical design discussions, evaluate architectural tradeoffs, and drive adoption of modern engineering practicesCollaborate with BI, Product, Platform Engineering, Security, and MLOps teams to deliver trusted, scalable data productsDesign scalable Lakehouse architectures and governance practices with Unity Catalog Key requirements8+ years of experience in Data Engineering, Analytics Engineering, or Data Platform EngineeringDatabricks/DatalakesExperience with Microsoft (.NET) StackBachelor's degree in Computer Science, Engineering, Information Systems, or a related fieldPreferred: BI Reporting toolsStrong communication and collaboration skills with the ability to influence both technical and business stakeholdersStrong communicationCollaborationInfluencing stakeholdersDatabricks LakehouseUnity Catalog governanceCloud data platform design