Top 43 Principal data architect Jobs in Austin, Tx

Principal Data Scientist
Charles Schwab —Austin, TX
- $215,000 - $235,000 a year
- Hybrid work
- System design
- Office
- Master's degree
- Paid parental leave
- Employee stock purchase plan
14d
Principal Technical Project Manager
TTEC Digital —Austin, TX
- $140,000 - $165,000 a year
- Full-time
- Remote
- 5 years
- Team management
- Travel
- Health insurance
- Dental insurance
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Sr. Principal Data Engineer / Data Architect
Sinclair Broadcast Group —Austin, TX
- $131,250 - $175,000 a year
- Full-time
- Remote
- SQL
- Mentoring
- In-person
- Employee stock purchase plan
- Paid holidays
Principal Consultant, Cloud Engineer
TTEC Digital —Austin, TX
- $140,000 - $160,000 a year
- Full-time
- Remote
- 5 years
- Budgeting
- Senior level
Quick Apply
Principal Architect, Azure Solutions
TTEC Digital —Austin, TX
- $170,000 - $210,000 a year
- Full-time
- Remote
- 5 years
- Machine learning
- Mentoring
- Health insurance
- Dental insurance
Quick Apply
Principal Cloud Infrastructure Engineer
Wilson, Sonsini, Goodrich & Rosati —Austin, TX
- $147,050 - $220,800 a year
- Hybrid work
- 5 years
- Presentation skills
- Bachelor's degree
Principal Software Engineer, Azure Solutions
TTEC Digital —Austin, TX
- $170,000 - $210,000 a year
- Full-time
- Remote
- 5 years
- Windows
- Machine learning
- Health insurance
- Dental insurance
Quick Apply
Principal Product Designer (Contract-to-Hire)
Chorus Innovations —Austin, TX
- $165,000 - $190,000 a year
- Full-time
- Remote
- Management
- 11+ years
- Mentoring
- Health insurance
- Dental insurance
Quick Apply
Director, Platform Architect Principal - Wealth Management
Charles Schwab —Austin, TX
- $210,000 - $260,000 a year
- Hybrid work
- System design
- Office
- Java
- Paid parental leave
- Employee stock purchase plan
3d
Principal Cloud Infrastructure Engineer
Wilson Sonsini Goodrich & Rosati —Austin, TX
- $147,050 - $220,800 a year
- Hybrid work
- 5 years
- Presentation skills
- Bachelor's degree
Principal Architect, Data Architecture and Solution Engineering
CVS Health —Austin, TX
- $144,200 - $288,400 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
- Dental insurance
9d
Principal Software Solutions Architect
Christian Care Ministry —Austin, TX
- $133,500 - $193,000 a year
- Full-time
- 18 years or older
- Computer science
- Computer Science
- Paid parental leave
- Health savings account
Principal Software Engineer
Aspira —Austin, TX
- Computer science
- Computer Science
- Master's degree
Principal Software Engineer
CVS Health —Austin, TX
- $144,200 - $288,400 a year
- Full-time
- Computer science
- Computer Science
- System design
- Health insurance
- Dental insurance
14d
Principal IT Security Architect
Synopsys —Austin, TX
- $163,000 - $245,000 a year
- Computer Science
- HIPAA
- Master's degree
Principal Robotics Simulation Architect
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Computer Science
- System design
- Master's degree
2d
Principal Forward Deployed Engineer, Performance
Arm —Austin, TX
- $207,800 - $281,200 a year
- Email
- Azure
- Java
- AWS
Principal Solutions Engineer
Wilson, Sonsini, Goodrich & Rosati —Austin, TX
- $147,050 - $220,800 a year
- Computer Science
- DevOps
- 8 years
Principal Machine Learning Engineer, Matching and Recommendations
Bumble Inc. —Austin, TX
- $345,000 - $410,000 a year
- Call employer
- Hybrid work
- Mentoring
- Agile
- Senior level
- Paid parental leave
- Disability insurance
Quick Apply
Principal Data Engineer - H&B Data & Analytics Platform
WTW —Austin, TX
- $180,000 - $225,000 a year
- Full-time
- Azure
- Computer Science
- 8 years
- Paid jury duty
- Health savings account

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Principal Data Scientist

Charles Schwab -
Austin, TX

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Job Details

$215,000 - $235,000 a year
14 days ago

Benefits

Paid parental leave
Employee stock purchase plan
Health insurance
Dental insurance
401(k)
Tuition reimbursement
Adoption assistance
Parental leave
Vision insurance
401(k) matching
Sabbatical

Qualifications

AI models
Roadmap creation (System development task)
Software engineering
Predictive modeling analysis
Continuous deployment
Product roadmapping
Prioritizing technology investments (IT roadmap design and development)
Generative models
System design
Application deployment
AI platforms (beyond public GPTs)
SQL
Production systems
Machine intelligence
Model deployment
Application design
Version control systems
Supervised learning
Developing large-scale AI models
Natural language processing
Model training
System deployment
Business requirements
Unsupervised learning
Python
MLOps
Generative AI

Full Job Description

Austin, TX ; Southlake, TX

Requisition ID 2026-122206 Category Data Analytics and Strategy Position type Regular Pay range USD $215,000.00 - $235,000.00 / Year Application deadline 2026-06-06

Your opportunity

Your Opportunity

At Schwab, you have the opportunity to do meaningful work that helps clients take control of their financial futures. You’ll be part of a collaborative, technology-forward environment that values curiosity, continuous learning, and thoughtful problem-solving. Schwab Technology Services (STS) enables innovative and reliable technology products that power how clients manage their money, supporting Schwab’s commitment to expanding access to investing and financial planning.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Organization / Role Description

In this role, you will be part of the Schwab AI & Data Science organization operating as a high-leverage, senior individual contributor, designing and helping deliver production-ready AI and machine learning systems that address complex, enterprise scale challenges. You will leverage deep expertise in advanced model building and deployment, acting as a hands-on technical authority who directly influences and supports engineering teams across the organization. A key focus will be providing architectural leadership and influencing technical strategy for real-time and low-latency systems to accelerate the firm’s AI and production ML maturity. This position offers the opportunity to shape how advanced data science capabilities are built, scaled, and operationalized across the organization.

Key Responsibilities

Design and build end‑to‑end machine learning systems by defining scalable, reliable, and maintainable architectures that support data ingestion, feature generation, model training, evaluation, deployment, and monitoring in production environments.
Translate business strategy into technical execution by partnering with senior leaders to convert high‑level business objectives into clear, actionable data science and AI roadmaps that address critical business and technology challenges.
Set and elevate engineering standards for data science by establishing best practices that treat data science as a rigorous engineering discipline, including modular code design, testing, version control, and production readiness.
Advance technical capabilities in emerging areas by leading complex initiatives involving advanced machine learning, recommender systems, real‑time and low‑latency inference, or other evolving technologies that require deep technical expertise and comfort with ambiguity.

What you have

Required Qualifications

10+ years of experience in data science and machine learning, including 3+ years operating as a senior‑ or staff‑level individual contributor with significant technical ownership.
Advanced degree (Master’s or PhD) in a quantitative field such as computer engineering, statistics, mathematics, physics, chemistry, or a related discipline.
8+ years of hands‑on experience using Python and SQL to develop production‑grade, modular, and optimized code.
Demonstrated ability to architect and deliver end‑to‑end machine learning solutions, with evidence of at least two production systems supporting real‑time or low‑latency use cases.
Proven experience developing supervised and unsupervised machine learning solutions, with delivery of five or more distinct models or analytical systems supported by documented evaluation metrics and performance tracking.
ing natural language processing techniques to unstructured data, supported by two or more delivered analyses or production components.
Practical experience designing large language model solutions (such as retrieval‑augmented generation, agent workflows, or fine‑tuning), including at least one end‑to‑end LLM system deployed for production or broad internal use.
Strong software engineering fundamentals, including version control, CI/CD, and MLOps practices, demonstrated through three or more production deployments.
Proven ability to convert business requirements into technical roadmaps, including ownership or co‑ownership of two or more roadmaps reviewed with senior stakeholders and delivered against defined milestones.

Preferred Qualifications

Experience working in financial services or other highly regulated industries.
Strong background in statistics, forecasting, or causal inference.
Hands‑on experience architecting machine learning solutions within cloud ecosystems.
Experience building, maintaining, and optimizing data pipelines that support machine learning workflows.
Experience developing large‑scale recommender or personalization systems.
A demonstrated commitment to mentorship, including coaching senior data scientists or engineers and elevating team capability through feedback and code quality.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance

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Eligible Schwabbies receive

Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment

Apply Now

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principal data architect jobs in austin, tx

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Your opportunity

Your Opportunity

Organization / Role Description

Key Responsibilities

What you have

Required Qualifications

Preferred Qualifications

What’s in it for you

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Eligible Schwabbies receive

Medical, dental and vision benefits

401(k) and employee stock purchase plans

Tuition reimbursement to keep developing your career

Paid parental leave and adoption/family building benefits

Sabbatical leave available after five years of employment