Senior Data & AI Architect — Enterprise Data Solutions

Cognizant; Portsmouth (NH); Hybrid; USD 155,000 - 175,000; Full time

Job summary

Cognizant is seeking a Principal Data & Solutions Architect to lead data architecture, AI, and modern data platforms. You will design enterprise-scale data ecosystems, integrate Generative AI, and guide distributed teams across data engineering and AI development.

The role emphasizes collaboration with product owners and stakeholders, cloud-native architectures, and governance. Hybrid work with office locations in Boston or Portsmouth and surrounding areas is offered.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related technical field.
• 8+ years of experience in Data Architecture, Data Engineering, Solution Architecture, or related disciplines within large enterprise environments.
• 3+ years of hands-on experience designing and implementing solutions within the Snowflake Data Cloud.
• Deep expertise in Snowflake architecture, Snowpark, Streams & Tasks, secure data sharing, and Snowflake Cortex capabilities.
• Strong experience designing and implementing enterprise-scale ETL/ELT pipelines using technologies such as dbt, Airflow, Spark, Python, or Scala.
• Proven experience working with Large Language Models (LLMs), Generative AI solutions, LangChain, LlamaIndex, vector databases, and multi-agent architectures.
• Advanced knowledge of enterprise data modeling methodologies, including Data Vault 2.0 and dimensional modeling (Kimball).
• Strong understanding of cloud platforms and modern cloud-native architectures across AWS, Azure, or Google Cloud Platform.
• Experience designing, delivering, and supporting highly visible, complex technology solutions.
• Excellent communication skills with the ability to explain architectural concepts to both technical teams and executive stakeholders.
• Experience working within Agile and Scrum delivery environments.

Responsibilities

• Design and implement enterprise-scale data architectures that are secure, scalable, resilient, and aligned with business objectives.
• Define, develop, and govern reusable data products that support multiple business functions across the organization.
• Architect complex ETL/ELT pipelines capable of processing structured, semi-structured, and unstructured data from diverse enterprise sources.
• Integrate Generative AI capabilities into enterprise data products and workflows to enhance decision-making and operational efficiency.
• Design, build, and orchestrate AI agents and intelligent automation solutions that automate complex, multi-step business processes.
• Leverage Snowflake Cortex capabilities including native AI, vector search, machine learning functions, and large language models to deliver advanced analytical solutions.
• Architect and implement Retrieval-Augmented Generation (RAG) frameworks that securely connect enterprise data with AI platforms while maintaining governance and access controls.
• Collaborate with product owners, engineering teams, and business stakeholders to translate complex business requirements into technical roadmaps and scalable architectures.
• Establish engineering standards and best practices for data modeling, ETL design, AI implementations, prompt engineering, and agentic workflows.
• Ensure compliance with enterprise security, privacy, governance, and regulatory requirements across all data and AI solutions.
• Provide technical leadership, mentoring, and architectural guidance to distributed data engineering and AI development teams.

Skills

Enterprise data architecture

Leadership

Communication

Agile/Scrum

Generative AI / LLMs

Education

Bachelor's or Master's in CS / Data Eng / Info Systems

Tools

Snowflake

Snowpark

dbt

Airflow

Spark

Python

Scala

LangChain

LlamaIndex

Vector databases

Job description

Cognizant is seeking a Principal Data & Solutions Architect to lead data architecture, AI, and modern data platforms. You will design enterprise-scale data ecosystems, integrate Generative AI, and guide distributed teams across data engineering and AI development.

The role emphasizes collaboration with product owners and stakeholders, cloud-native architectures, and governance. Hybrid work with office locations in Boston or Portsmouth and surrounding areas is offered.