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AI Data Specialist

00070889152



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 applications
  • Configure and administer Databricks Unity Catalog to establish centralized governance robust access controls and consistent data security policies across all workspaces and environments
  • Develop automate and monitor Databricks Workflows that orchestrate complex data pipelines ensuring reliable scheduling error handling and recovery for critical business processes
  • Implement and manage Databricks Delta Lake structures to support incremental data ingestion versioning and time travel capabilities that improve data quality and analytical flexibility
  • Build fine tuned Databricks SQL queries dashboards and data models that deliver actionable insights to business teams while maintaining efficient performance on large datasets
  • Collaborate with data scientists analysts and application teams to translate analytical requirements into well structured data solutions that accelerate experimentation and deployment
  • Document data models pipeline logic governance rules and operational procedures in a clear concise manner to promote transparency maintainability and knowledge sharing across teams
  • Apply rigorous data quality checks validation frameworks and monitoring practices to ensure that curated datasets remain accurate consistent and fit for AI and reporting use cases
  • Partner with cloud infrastructure and security teams to align Databricks configurations networking and identity controls with enterprise standards and regulatory expectations
  • Optimize cluster configuration storage layout and resource utilization in Azure Databricks to balance performance reliability and cost efficiency for production and development workloads
  • Contribute to continuous improvement initiatives by evaluating new Databricks features and best practices then guiding adoption that strengthens data platform capability and resilience
  • Support domain oriented data solutions that can incorporate life and annuities insurance concepts where relevant helping business teams better understand risk policy behavior and customer outcomes
  • Champion 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 environments
  • Bring 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 stacks
  • Show 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 stakeholders
  • Exhibit advanced proficiency in structured query development performance tuning and data modeling practices that support reporting machine learning and self service analytics
  • Apply sound knowledge of data governance security and compliance concepts to configure Unity Catalog permissions data classification and audit readiness for enterprise usage
  • Demonstrate strong problem solving and debugging skills to investigate pipeline failures data anomalies and performance bottlenecks while driving sustainable corrective actions
  • Communicate clearly with technical and nontechnical partners providing explanations of data solutions trade offs and risks that support informed decision making and collaboration
  • Manage 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

    Additional employment information
    Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

    Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

    Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

    Applicants must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for this position.

    If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

    About Cognizant: 
    Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

     

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