Principal Solutions Architect

As a Principal Data & Solutions Architect
, you will make an impact by serving as a technical visionary and hands-on leader responsible for designing enterprise-scale data architectures, modern data products, and next-generation AI-powered solutions. You will be a valued member of the Data & AI Architecture team and work collaboratively with product owners, business stakeholders, data engineers, data scientists, and technology leaders to deliver scalable, secure, and intelligent data platforms.

In this role, you will lead the design of modern cloud-native data ecosystems while pioneering the integration of Generative AI, Retrieval-Augmented Generation (RAG), and intelligent agent frameworks that enable advanced analytics, automation, and business transformation initiatives.

• 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.

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 3 to 4 days per week in a client or Cognizant office located in Boston, Massachusetts;
Portsmouth, New Hampshire; or nearby locations
.

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.

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a 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, Lang Chain, Llama Index, 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…