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Principal Data Architect Jobs (NOW HIRING)

We're hiring Principal Data Architects across North America with a passion for data, cloud, and AI-first modernization. Responsibilities 🔹 Enterprise Data & AI Architecture Design * Architect end ...

$175K - $195K/yr

McBride Consulting has an exciting opportunity for a Principal Data Architect providing support to the Command, Control, Communications, and Battle Management Division (C3BM). Command, Control ...

Principal Data Architect

Atlanta, GA · On-site

$170K - $180K/yr

Your Role: We're seeking a Principal Data Architect to join our Global Data Architecture team within Enterprise Architecture that supports our Investments, Distributions, Corporate data and overall ...

Principal Data Architect

Atlanta, GA · Hybrid

$170K - $180K/yr

Your Role: We're seeking a Principal Data Architect to join our Global Data Architecture team within Enterprise Architecture that supports our Investments, Distributions, Corporate data and overall ...

Principal Data Architect About the Role Reporting to the Vice President of Data, the Principal Data Architect is the senior technical authority for how data is modeled, integrated, governed, and ...

Principal Data Architect

New York, NY · Hybrid

$170K - $180K/yr

Your Role: We're seeking a Principal Data Architect to join our Global Data Architecture team within Enterprise Architecture that supports our Investments, Distributions, Corporate data and overall ...

Principal Data Architect SynergenX | Low T Center Remote/Hybrid for Houston residents Full-Time | Exempt Salary: starting at $170,000 (Range is DOE) ***Please do not email the company or company ...

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$107K

$166.5K

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How much do principal data architect jobs pay per year?

As of Jun 9, 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

Full-time

Posted 25 days ago


Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role Overview:
Quantiphi is assembling a high-impact Blackbelt Team of elite technologists to lead large-scale, AI-native data transformations for Fortune 100 enterprises on Google Cloud Platform (GCP). We're hiring Principal Data Architects across North America with a passion for data, cloud, and AI-first modernization.
Responsibilities
🔹 Enterprise Data & AI Architecture Design
  • Architect end-to-end data and AI platforms using GCP-native tools like BigQuery, Vertex AI, Dataplex, and Looker.
  • Integrate GenAI and predictive ML into modern data ecosystems to enable intelligent, automated decision-making at scale.

🔹 Legacy Platform Modernization
  • Lead migrations from traditional data systems (Teradata, Netezza, Oracle, SQL Server, Hadoop, etc.) to GCP.
  • Replatform data pipelines using agentic AI accelerators like Codeaira for faster ETL conversion, data quality validation, and architectural optimization.

🔹 Productionizing AI & ML Pipelines
  • Partner with data scientists to operationalize ML models using Vertex AI Pipelines, Model Monitoring, and Feature Store.
  • Enable AI-driven use cases: customer personalization, fraud detection, forecasting, and intelligent automation.

🔹 Customer-Centric Technical Leadership
  • Collaborate directly with CDOs, CIOs, and Chief Architects to define cloud AI strategies and transformation roadmaps.
  • Serve as a trusted advisor across industries, influencing both technology and business decisions.

🔹 Price-Performance Engineering
  • Conduct rigorous benchmarking to optimize cost and throughput of AI + data workloads on BigQuery and allied services.
  • Embed performance-aware designs for large-scale inference, data scoring, and training pipelines.

Required Skills:
  • An AI-savvy cloud data architect with deep enterprise experience
  • Hands-on in modern data platforms, MLOps, and LLM-powered architectures
  • Skilled at bridging the gap between legacy systems and next-gen AI/ML systems
  • Eager to co-innovate with global clients and redefine what's possible with cloud + AI

Why Join Quantiphi's Blackbelt Team?
This is a rare opportunity to drive AI-native transformation at the heart of the world's largest enterprises. Backed by Google Cloud's DA Fast program and Quantiphi's proven IP (Codeaira), you'll enable customers to unlock the full potential of Generative AI and enterprise-scale data platforms-from strategy to execution.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!