Job Summary
The AI Data Specialist role focuses on designing and optimizing secure data platforms using Azure Databricks and related services to support advanced analytics and AI driven insights for global stakeholders. The specialist will configure and manage Databricks Unity Catalog workflows Delta Lake and Databricks SQL to ensure reliable data pipelines and governed data access. The role demands strong hands on engineering expertise excellent collaboration with cross functional data teams and a co
Responsibilities
Design and optimize scalable data engineering solutions on Azure Databricks that enable advanced analytics and AI workloads for enterprise stakeholders and downstream applicationsConfigure and administer Databricks Unity Catalog to establish centralized governance robust access controls and consistent data security policies across all workspaces and environmentsDevelop automate and monitor Databricks Workflows that orchestrate complex data pipelines ensuring reliable scheduling error handling and recovery for critical business processesImplement and manage Databricks Delta Lake structures to support incremental data ingestion versioning and time travel capabilities that improve data quality and analytical flexibilityBuild fine tuned Databricks SQL queries dashboards and data models that deliver actionable insights to business teams while maintaining efficient performance on large datasetsCollaborate with data scientists analysts and application teams to translate analytical requirements into well structured data solutions that accelerate experimentation and deploymentDocument data models pipeline logic governance rules and operational procedures in a clear concise manner to promote transparency maintainability and knowledge sharing across teamsApply rigorous data quality checks validation frameworks and monitoring practices to ensure that curated datasets remain accurate consistent and fit for AI and reporting use casesPartner with cloud infrastructure and security teams to align Databricks configurations networking and identity controls with enterprise standards and regulatory expectationsOptimize cluster configuration storage layout and resource utilization in Azure Databricks to balance performance reliability and cost efficiency for production and development workloadsContribute to continuous improvement initiatives by evaluating new Databricks features and best practices then guiding adoption that strengthens data platform capability and resilienceSupport domain oriented data solutions that can incorporate life and annuities insurance concepts where relevant helping business teams better understand risk policy behavior and customer outcomesChampion responsible and ethical use of data by promoting governance practices that protect customer information support regulatory compliance and enhance societal trust in data driven decisions
Qualifications
Demonstrate strong hands on expertise in Azure Databricks including consistent practical experience with Databricks Unity Catalog Workflows SQL and Delta Lake in complex environmentsBring solid experience in designing and operating large scale data pipelines with a minimum of nine years in data engineering or AI data specialist roles and exposure to modern cloud data stacksShow familiarity with life and annuities insurance data structures processes and metrics as a beneficial domain skill that can deepen the impact of analytics solutions for insurance stakeholdersExhibit advanced proficiency in structured query development performance tuning and data modeling practices that support reporting machine learning and self service analyticsApply sound knowledge of data governance security and compliance concepts to configure Unity Catalog permissions data classification and audit readiness for enterprise usageDemonstrate strong problem solving and debugging skills to investigate pipeline failures data anomalies and performance bottlenecks while driving sustainable corrective actionsCommunicate clearly with technical and nontechnical partners providing explanations of data solutions trade offs and risks that support informed decision making and collaborationManage work effectively in an office based day shift model by coordinating with cross functional teams aligning priorities and ensuring consistent availability for stakeholder interactions
Certifications Required
Databricks Data Engineer Professional Certification or Azure Data Engineer Associate certification preferred
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
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