2,139,907open jobs
136,377companies
254,815added this week
Browse all
Location
In office (Chennai)
Seniority
Staff · 9+ years exp
Visa
Sponsors visas in United States, Ireland; no register of this country names it
Employment
Full-Time

First seen by Alion on Nov 4, 2026. Cognizant scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.
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
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,139,907 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
Chennai
In office · Full-Time · 5+ years exp · Master's Degree · Bengaluru
Python
C++
Python
pySpark
Databases
Databricks
Google BigQuery
Amazon Redshift
AI/ML
Spark
Machine Learning
DevOps
Azure
AWS
Docker
Kubernetes
Amazon S3
Analytics
ETL/ELT
Apply
In office · Full-Time · 4+ years exp · Bachelor's Degree · Gurgaon
Python
SQL
Databases
Snowflake
AI/ML
AI Agents
Machine Learning
DevOps
Azure
Analytics
Tableau
Power BI
ETL/ELT
Dimensional Modeling
Apply
In office · Full-Time · 4+ years exp · Ahmedabad · Indore
Python
SQL
Databases
DynamoDB
AI/ML
TensorFlow
PyTorch
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Amazon EC2
Amazon S3
Analytics
Tableau
Power BI
ETL/ELT
Looker
Management
Agile
Apply
Looker + GCP 1 day ago
In office · Full-Time · 6+ years exp · Chennai
Databases
LookML
Google BigQuery
DevOps
GCP
Analytics
Looker
Apply
Hybrid · Full-Time · 5+ years exp · Bengaluru
Python
Java
Python
FastAPI
Databases
ClickHouse
Cassandra
Presto
Trino
DevOps
Kubernetes
Analytics
Apache NiFi
Apply
≈ $19k – $38k per year (Estimated) · In office · 7+ years exp · Bachelor's Degree · Chennai
SQL
PowerShell
Databases
MS SQL
DevOps
Azure
AWS
Analytics
SSIS
Apply
In office · 3+ years exp · Bachelor's Degree · Chennai
Analytics
Microsoft Excel
Apply
≈ $17k – $36k per year (Estimated) · In office · 6+ years exp · Bachelor's Degree · Chennai
Cybersecurity
SIEM
Apply
PKI Engineer 1 day ago
In office · 4+ years exp · Bachelor's Degree · Chennai
DevOps
Linux
Cybersecurity
PKI
Apply
In office · Full-Time · Bachelor's Degree · Chennai
Apply
See all jobs
This is one of many
2,139,907 more open roles from verified company boards, updated every day.