Data Architect jobs in United States, California, Palo Alto

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Senior Data Scientists capable of using AI/ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilities
As an experienced Senior Data Scientist, you will be responsible for:
1. Lead end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring
2. Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges4. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Master's degree in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field with 5+ years of experience; or bachelor's degree with 8+ years of experience
- 5+ years of building machine learning models for business application experience
- 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production
- Experience with cloud services related to machine learning (e.g., Amazon SageMaker) and generative AI applications
- Experience with technical customer-facing engagements, and strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts

- PhD in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, VPC) and professional certifications (e.g., Solutions Architect Professional)
- 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain, LangGraph, LlamaIndex, and/ or similar tools
- 5+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow
- Experience in launching AI applications in production on AWS
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines

We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.Key job responsibilities
-Help a diverse range of generative AI-focused startups to adopt the right architecture at each part of their lifecycle
-Support startups in architecting scalable, reliable and secure solutions
-Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCsA day in the life
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communitiesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job responsibilities

• Leads multiple technology and process implementations across departments to achieve firmwide technology objectives

• Articulate our transformation strategy, progress, and impact in a way that resonates with and is aligned with DPRE and CCB objectives

• Proven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environments

• Ability to analyze information, connect the dots and articulate clear strategy, outcomes and key messages

• Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives

• Oversee complex technology project and program execution, managing resources, budgets, and timelines while mitigating risks and addressing roadblocks

• Influences peer leaders and senior stakeholders across the business, product, and technology teams

• Lead the execution of our firm-wide migration to strategic platforms and data

• Accountable for the delivery and growth of enterprise-grade data platforms with a focus on scalability, availability, capabilities, and performance

• Collaborate with peer teams such as Testing Systems, Data Science, and Technical Governance to deliver solutions for key personas, including analysts, data scientists, data engineers, software engineers, AI/ML engineers, operators, and compliance officers

• Elevate the engineering standards within our organization through best practices, coaching, and talent development

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization

• Experience developing or leading large or cross-functional teams of technologists

• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale

• Experience leading complex projects supporting system design, testing, and operational stability

• Experience with hiring, developing, and recognizing talent

• Extensive practical cloud native experience

• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

• Expertise in systems and software design for large-scale distributed data solutions

• Experience with large scale data platforms

Preferred qualifications, capabilities, and skills

• Experience working at code level

• Familiarity with data processing and development frameworks like Flink, Spark, and DBT

• Knowledge of open table formats such as Iceberg and Delta, and their catalog solutions (e.g., Polaris, Unity)

• Proficiency in software development technologies (Java/JS/Python/REST) and methodologies (Agile/Scrum)

• Experience in AI/ML and feature engineering is a plus
• This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

• Champion and support your teammates’ success and the goals of the bank, while fostering a culture of diversity
• Build a book of business and deliver personalized investment solutions to your clients by relying on leadership and relationship-building skills. This will be done with a consistent focus on relationship management, not portfolio management
• Demonstrate a deep understanding of financial markets and sound business judgement
• Exhibit unwavering integrity that points toward doing right by clients at every opportunity
• Demonstrate a passion for educating clients on the technology and channels available to them to better monitor, maintain, and handle their investments
• Provide a holistic view of clients’ needs and financial coaching beyond investments
• Embrace digital innovations to help clients become more digitally confident and bank when, where, and how they want

• At least 2 years in a Financial Advisor role or equivalent financial services experience
• Demonstrated success in client acquisition, cultivating and maintaining client relationships, and integrating with key partners
• Demonstrated ability and commitment to goals-based planning and advice
• A valid and active Series 7
• A valid and active Series 66 (63/65) license is required or must be obtained within 60 days of starting in the role as a condition of employment
• A valid and active Life, Health and Long Term Care Insurance license is required or must be obtained within 60 days of starting in the role as a condition of employment

• Certified Financial Planning (CFP®) certification is preferred
• Bachelor’s degree preferred