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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 ...

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 principal data architect jobs pay per year?

As of Jul 4, 2026, the average yearly pay for principal data architect in the United States is $166,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $192,000.00 per year, depending on experience, location, and employer.

What are some typical challenges a Principal Data Architect may face in their day-to-day work?

Principal Data Architects often navigate complex challenges such as integrating disparate data sources, ensuring data quality and security, and staying ahead of rapidly evolving technologies. They may also be tasked with guiding teams through large-scale data migrations or modernizing legacy systems while minimizing disruptions to business operations. Collaborating with stakeholders from different departments to align data strategies and adhering to regulatory compliance requirements are common aspects of the role. Overcoming these challenges requires both technical expertise and strong problem-solving skills, making the work dynamic and highly impactful.

What are the key skills and qualifications needed to thrive in the Principal Data Architect position, and why are they important?

To thrive as a Principal Data Architect, you need deep expertise in data modeling, database design, systems architecture, and data governance, typically supported by a degree in computer science or a related field. Mastery of tools such as SQL, NoSQL, ETL frameworks, cloud platforms (AWS, Azure, GCP), and certifications like CDMP or AWS Certified Solutions Architect are common requirements. Strong leadership, communication skills, and the ability to collaborate cross-functionally distinguish top performers in this role. These skills ensure robust, scalable data solutions that align with organizational goals and drive business value.

What is a Principal Data Architect job?

A Principal Data Architect is a senior-level role responsible for designing, managing, and optimizing an organization's data architecture. They develop data strategies, ensure data integrity, and align systems with business goals. This role involves collaboration with IT teams, data engineers, and business leaders to create scalable and efficient data solutions. They also establish best practices for data governance, security, and compliance. Strong expertise in cloud platforms, databases, and big data technologies is typically required.

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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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