Senior Developer – Databricks (Data Engineering) Cognizant (NASDAQ: CTSH) is a leading professional services company, helping organizations modernize technology, reimagine processes, and transform experiences in a fast-changing world. We combine deep industry expertise with a global delivery model to drive measurable business outcomes.We are committed to fostering an inclusive, collaborative workplace where innovation thrives and employees can grow and succeed.About the Role We are seeking a highly experiencedSenior Developer – Databricksto design and build scalable, cloud-based analytics platforms. This role requires deep hands‑on expertise inDatabricks SQL, PySpark, and Databricks Workflows , with a strong focus on enabling enterprise‑scale data solutions.You will collaborate closely with business and technology stakeholders to translate complex requirements into robust data architectures. Experience in theLife & Annuities insurance domainis a strong asset.Key ResponsibilitiesDesign and evolveend-to-end data architectureon Databricks to support scalable analytics and reportingDevelop and optimizePySpark‑based pipelinesfor large‑scale data processing (structured and semi‑structured)Build high‑performanceDatabricks SQL models, queries, and semantic layersfor reporting and analyticsDefine and implementDatabricks Workflows orchestration standards , including scheduling, dependency management, and monitoringTranslate business needs intoscalable, reliable data solutionsEstablish best practices forcoding, testing, performance tuning, and monitoringImplement enterprisedata governance standards(lineage, access controls, naming conventions)Ensure architectures align withsecurity, cost efficiency, and cloud best practicesCollaborate with data modelers to definelogical and physical data modelsPartner with platform and security teams to ensurepolicy complianceDrivecontinuous improvementthrough performance analysis and optimizationContribute reusable frameworks and acceleratorsCommunicatetechnical decisions and trade‑offsto diverse stakeholdersRequired Qualifications6+ years of experience in data engineering or cloud‑based analyticsStrong hands‑on expertise inDatabricks SQL ,PySpark , andDatabricks WorkflowsExperience buildingscalable, high‑performance data pipelinesStrong knowledge ofdistributed data processing and data warehousingExperience withdata governance, quality, and security frameworksExcellentcommunication and stakeholder engagementskillsBachelor’s degree in a relevant field or equivalent experiencePreferred QualificationsExperience inLife & Annuities insuranceExperience withAzure data ecosystemor similar cloud platformsStrong understanding ofdata modeling and semantic layersDatabricks Certified Data Engineer ProfessionalAzure Data Engineer AssociateEquivalent cloud/data certificationsWork EnvironmentLocation:Toronto, Ontario, CanadaWork Model:Hybrid (combination of in‑office and remote work)Shift:Day shift with collaboration across distributed teamsSalary & Benefits (Canada)Base Salary Range:CAD $95,000 – $120,000 per year (Actual compensation will be determined based on experience, skills, and location.)Comprehensivehealth and dental coverageLife and disability insuranceRetirement savings plans (RRSP with company contributions where applicable)Paid time off, includingvacation and statutory holidaysEmployee wellness programsand mental health supportOpportunities forlearning, certification, and career advancementFlexible work arrangements to support work‑life balanceWhy CognizantWork oncutting‑edge data and analytics platformsOpportunity to influenceenterprise‑scale transformation initiativesCollaborative and inclusive work cultureContinuous learning and professional growth opportunitiesEqual Opportunity Statement Cognizant is an equal opportunity employer. We are committed to creating a diverse and inclusive environment and encourage applications from all qualified candidates. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.#J-18808-Ljbffr