Cloud Data Architect

Cognizant Technology Solutions Corporation
Dallas, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Dallas, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Database
Data Architecture
Data Infrastructure
ETL
Data Warehousing
Meta-Data Management
Metadata Repositories
Performance Tuning
Data Streaming
Unstructured Data
Google Cloud Platform
Cloud Platform System
Real Time Systems
Data Lake
Data Lineage
Integration Frameworks
Data Management
Data Pipelines

Job description

As a Cloud Data Architect, you will make an impact by defining and delivering scalable, enterprise-level cloud data architectures that support advanced analytics and business insights. You will be a valued member of the data architecture team and work collaboratively with business, analytics, and IT stakeholders to design and implement modern data platforms.

In this role, you will:

  • Define enterprise-level cloud-based data architecture, including conceptual, logical, and physical models
  • Design and implement cloud-based data platforms such as data lakes, data warehouses, and integration frameworks
  • Collaborate with business, analytics, and IT teams to translate requirements into scalable technical solutions
  • Develop cloud-native solutions for structured, semi-structured, and unstructured data across platforms (GCP, AWS, Azure)
  • Lead architecture reviews, design workshops, and governance processes to ensure solution quality and alignment

Work model:

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring a combination of remote work and time in a Cognizant or client office in Dallas, TX. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Requirements

  • Strong experience in cloud data architecture and designing enterprise data solutions
  • Proven expertise in building data platforms (data lakes, warehouses) and integration frameworks
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Hands-on experience guiding ETL/ELT design, pipeline orchestration, and performance optimization
  • Experience implementing data quality, monitoring, and governance processes

These will help you stand out

  • Experience with metadata management, data lineage, and data catalog solutions
  • Knowledge of modern data architectures supporting streaming and real-time processing
  • Strong experience working across global (onshore/offshore) delivery models
  • Ability to lead technical discussions, architecture reviews, and stakeholder engagements
  • Strong communication skills with the ability to bridge business and technical teams

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