General Information

City
Kolkata
State/Province
West Bengal
Country
India
Date
Tuesday, March 24, 2026
Working time
Full-time
Ref#
20038876
Job Level
Specialist
Job Type
Experienced
Seniority Level
Mid-Senior Level

Description & Requirements

About Xerox Holdings Corporation
For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power the hybrid workplace of today and tomorrow. Today, Xerox is continuing its legacy of innovation to deliver client-centric and digitally-driven technology solutions and meet the needs of today’s global, distributed workforce. From the office to industrial environments, our differentiated business and technology offerings and financial services are essential workplace technology solutions that drive success for our clients. At Xerox, we make work, work. Learn more about us at www.xerox.com.

Job Description/Responsibilities:

We are looking for a highly skilled and strategic Data Architect with deep expertise in the Azure Data ecosystem. This role requires a strong command over Azure Databricks, Azure Data Lake, Azure Data Factory, data warehouse design, SQL optimization, and AI/ML integration. The Data Architect will design and oversee robust, scalable, and secure data architectures to support advanced analytics and machine learning workloads.

Qualification: BE/ME/MCA with 10+ Years in IT Experience.

Must Have Skills/Skill Requirement:

  • Define and drive the overall Azure-based data architecture strategy aligned with enterprise goals.
  • Architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse.
  • Provide technical leadership on Azure Databricks (Spark, Delta Lake, Notebooks, MLflow etc.) for large-scale data processing and advanced analytics use cases.
  • Integrate AI/ML models into data pipelines and support end-to-end ML lifecycle (training, deployment, monitoring).
  • Collaborate with cross-functional teams including data scientists, DevOps engineers, and business analysts.
  • Evaluate and recommend tools, platforms, and design patterns for data and ML infrastructure.
  • Mentor data engineers and junior architects on best practices and architectural standards.
  • Strong experience with data modeling, ETL/ELT frameworks, and data warehousing concepts.
  • Proficient in SQL, Python, PySpark.
  • Solid understanding of AI/ML workflows and tools.
  • Exposure on Azure DevOps.
  • Excellent communication and stakeholder management skills.

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