AI Architect

Cognizant • Science & Engineering • IT Outsourcing & Dedicated Teams • Python • SQL • 5 days ago
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Salary
≈ $57k – $130k per year (Estimated)
Location
Remote (United Arab Emirates)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 30, 2026. Cognizant scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Cognizant

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.
cognizant.com • HQ: Teaneck, United States • Cloud Consulting & Migration • Engineering Services • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • Systems Integrators • 5000+ employees • Est. 1994
Tech stack of Cognizant
Backed by Peak XV Partners

Job Summary

Key Responsibilities

  • Design, build and maintain batch and real-time data pipelines.
  • Develop data products using Databricks Lakeflow Declarative Pipelines, PySpark and SQL.
  • Build streaming solutions using Spark Structured Streaming and Lakeflow declarative pipelines
  • Optimise pipelines for scalability, reliability and performance.
  • Develop automated tests and participate in code reviews.
  • Contribute to CI/CD and engineering best practices.
  • Monitor, troubleshoot and support production workloads.
  • Use AI-assisted development tools to improve productivity while maintaining high engineering standards.

Essential Skills

  • Databricks
  • Lakeflow Declarative Pipelines and DXQ, DB Genie, MCP Server
  • Apache Spark (PySpark)
  • Spark Structured Streaming
  • Auto Loader
  • Unity Catalog
  • Python
  • SQL
  • Delta Lake
  • Azure Event Hubs or equivalent event streaming platforms
  • Git and collaborative development workflows
  • Unit testing
  • CI/CD
  • Strong analytical and problem-solving skills

Nice to Have

  • Performance tuning and Spark optimisation
  • Data modelling
  • Azure DevOps
  • AI coding assistants (GitHub Copilot, Cursor or similar)
  • Experience working in Agile or SAFe environments

We're looking for an engineer who:

  • Takes ownership from design through production support.
  • Writes clean, maintainable and well-tested code.
  • Builds reusable, production-ready solutions.
  • Collaborates effectively with teammates and stakeholders.
  • Continuously learns and embraces modern engineering practices.
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