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Intern Principal Data Architect Jobs (NOW HIRING)

Astrion

$225K - $235K/yr

Overview Principal Data Architect LOCATION : Hanscom AFB, MA Salary Range : $235-$235,000 annually* *depending on experience, certifications, and qualifications JOB STATUS: Full-time CLEARANCE :Top ...

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Russell Investments

Principal Data Architect

New York, NY · On-site

$160K - $190K/yr

Principal Data Architect - Data Platforms Russell Investments is seeking a hands-on Principal Data Architect to design and build modern data platforms across our enterprise. This role is focused on ...

Soni Resources

Principal Data Architect

Grapevine, TX · On-site

$150K/yr

Soni's client is seeking a Principal Data Architect to lead enterprise-wide data architecture strategy across relational, NoSQL, vector, and graph database ecosystems. This is the most senior ...

IPG Photonics

Principal Data Architect

Marlborough, MA · Remote

About the Role We are seeking a Principal Data Architect to lead the design of data architecture across our Microsoft Dynamics 365 ecosystem (ERP and CRM) and enterprise data platform. You will play ...

Wintrust

Principal Data Architect

Rosemont, IL · On-site +1

Principal Data Architect Location: Job location -Rosemont, IL- The position is based in Rosemont, IL, but remote work anywhere in the U.S. will be considered. 30 days of national travel is required.

LTIMindtree

Principal-Data Architect

Charlotte, NC · On-site

Principal-Data Architect Location : Charlotte, NC (Hybrid role 3 days/week from day1) A SQL Server Data Warehouse Architect designs and optimizes enterprise level data storage solutions mapping ...

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How much do intern principal data architect jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for intern principal data architect in the United States is $22.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $26.68 per hour, depending on experience, location, and employer.

What is an Intern Principal Data Architect?

An Intern Principal Data Architect is a student or early-career professional who assists senior data architects in designing and organizing an organization’s data infrastructure. This role involves learning how to create data models, develop data management strategies, and ensure systems are scalable and secure. As an intern, you work under the guidance of experienced architects, gaining hands-on experience in data architecture, database design, and sometimes cloud technologies. This position is ideal for those interested in building a career in data engineering or architecture.

What is the difference between Intern Principal Data Architect vs Data Architect?

AspectIntern Principal Data ArchitectData Architect
Required CredentialsTypically pursuing or recent graduate with foundational knowledgeBachelor's or master's in computer science, data management, or related field
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, designing and managing data systems
Employer & Industry UsageInternships in tech, finance, healthcare, and consulting firmsOrganizations across industries requiring data infrastructure
Comparison Search IntentUnderstanding entry-level vs experienced data rolesClarifying career progression in data architecture

The Intern Principal Data Architect is an entry-level or internship position focused on learning and supporting data architecture projects. In contrast, a Data Architect is a full-time professional responsible for designing and managing complex data systems. The internship provides foundational experience, while the Data Architect role requires extensive expertise and experience in data management and architecture.

What are the typical responsibilities and learning opportunities for an Intern Principal Data Architect?

As an Intern Principal Data Architect, you can expect to support senior data architects in designing and optimizing large-scale data infrastructures. Your daily tasks may include assisting with data modeling, participating in strategy sessions for data governance, and collaborating with engineering teams to ensure database solutions align with business objectives. This internship offers hands-on experience with modern data platforms and exposure to enterprise architecture, providing a solid foundation for a future career in data architecture. You'll also have opportunities to learn from experienced mentors, contribute to real-world projects, and build your professional network within the organization.

What are the key skills and qualifications needed to thrive as an Intern Principal Data Architect, and why are they important?

To thrive as an Intern Principal Data Architect, you need a solid background in computer science, data modeling, and database design, often supported by advanced coursework or relevant internships. Familiarity with big data platforms, cloud services (such as AWS or Azure), and data integration tools, along with knowledge of SQL and NoSQL systems, is typically required. Strong analytical thinking, communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These competencies enable you to design scalable data architectures that support organizational goals and ensure the integrity and accessibility of critical business information.
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Intern Principal Data Architect jobs near you
Principal Data Architect

Principal Data Architect

Inficare Technologies

Jersey City, NJ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role: Principal Data Architect
Location: Flexible / Hybrid (NY/NJ)
Full Time job role
Role Overview
The Principal Data Architect will lead the design and evolution of enterprise-scale data and AI platforms, enabling advanced analytics, Generative AI, and data-driven decision-making. This role requires deep expertise across cloud ecosystems, modern data architectures, and AI/ML frameworks, with a strong focus on governance, scalability, and security.
Key Responsibilities
1. Data Platform Architecture
  • Architect scalable, high-performance cloud data platforms across hyperscaler's (AWS, Azure, Google Cloud).
  • Design and implement modern data stack solutions leveraging technologies such as Snowflake and Databricks.
  • Define data ingestion, transformation, and serving architectures supporting real-time and batch workloads.
  • Drive standardization of data architecture patterns across the organization.

2. AI & Machine Learning Architecture
  • Design and implement architectures for:
    • Generative AI solutions
    • Retrieval-Augmented Generation (RAG)
    • Vector databases and semantic search frameworks
    • Agentic AI frameworks and orchestration patterns
  • Define and operationalize MLOps and LLMOps pipelines for model lifecycle management.
  • Enable scalable deployment and monitoring of AI/ML models in production environments.

3. Data Governance, Security & Compliance
  • Establish enterprise-wide data governance frameworks covering:
    • Data quality and validation standards
    • Data lineage and traceability
    • Master Data Management (MDM)
  • Implement AI governance controls to:
    • Mitigate model hallucinations
    • Ensure explainability and reliability
    • Protect data privacy and regulatory compliance
  • Define access control, encryption, and security best practices for data and AI platforms.

Required Skills & Expertise
  • Strong experience in cloud platforms: AWS, Azure, or Google Cloud
  • Deep expertise in modern data platforms: Snowflake, Databricks
  • Hands-on experience in AI/ML architecture, including GenAI and RAG
  • Knowledge of vector databases (e.g., Pinecone, FAISS, or equivalent)
  • Experience with MLOps/LLMOps tools and frameworks
  • Strong understanding of data governance, privacy, and compliance standards
  • Proven ability to design and scale enterprise data platforms

Leadership & Stakeholder Management
  • Provide architectural leadership across multiple programs and portfolios
  • Collaborate with business, engineering, and AI teams to align architecture with business outcomes
  • Mentor senior engineers and architects on best practices

Preferred Qualifications
  • Experience in BFSI or regulated industries
  • Exposure to large-scale AI transformation initiatives
  • Certifications in cloud or data platforms (AWS/Azure/GCP/Snowflake/Databricks)

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