Data Architect jobs in United States, California, San Francisco
PayPal Staff Data Scientist United States, California, San Jose
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Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- At least 3 years of experience in managing analytics teams
- Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Experience in Advanced Analytics: Causal Inference and ML models.
- Fluent in SQL and Python
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
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PayPal Sr Analyst Data Analytics United States, California, San Jose
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Essential Responsibilities:
- Lead advanced data analysis projects, applying statistical models and predictive techniques.
- Mentor junior analysts and provide guidance on best practices in analytics.
- Develop actionable insights and recommendations for senior business stakeholders.
- Design, build, and maintain advanced dashboards and data visualizations.
- Partner with business leaders to identify new opportunities for data-driven improvements.
Expected Qualifications:
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications
* ideally candidate should have 5yrs - 8 yrs of full time industry experience
* solid understand of business domains and lifecycle
* able to act and solve quickly
* solid in SQL and Python
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $76,500 to $126,500
Our Benefits:
Any general requests for consideration of your skills, please
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Ebay Senior Manager Data Science Analytics United States, California, San Jose
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Lead and inspire a high-performing team of data scientists and analysts to conduct sophisticated diagnostic analytics that uncover what drives the Global and U.S. business in particular.
Partner cross-functionally across all analytics domains (e.g. Ads, Shipping, and Focus Categories) to perform deep-dive analyses that explain business dynamics and surface actionable insights.
Serve as a trusted advisor to the U.S. Country Manager, providing strategic, data-driven insights that clarify performance trends and guide operational decisions.
Collaborate with Corporate Finance on strategic insights and presentations for the Board of Directors and Investor Relations, shaping how eBay communicates business performance and future opportunities.
Co-create with the Agentic Analytics Product team to prototype ground breaking AI and diagnostic applications, influencing the automation and intelligence roadmap that powers next-generation analytics.
Drive critical initiatives as both an executor and strategic thought partner, ensuring data science and analytics play a central role in eBay’s growth and transformation agenda.
Apply sophisticated analytics and AI techniques including simulations and experimental diagnostics to uncover emerging customer behaviors and new performance drivers.
Champion data-driven strategies that improve customer experience, and marketplace efficiency , directly impacting key business outcomes.
Supervise the analysis of large, sophisticated datasets to identify trends, patterns, and leading indicators that explain shifts in business and product performance.
Translate complexity into clarity , communicate analytical insights, implications, and strategic recommendations to senior leadership and cross-functional partners with precision and influence.
Cultivate a culture of curiosity, innovation, and continuous improvement , empowering your team to push the boundaries of what’s possible with data.
Stay ahead of the curve
Master’s in Data Science, Analytics, Statistics, Computer Science, or a related field.
Minimum of 10 years of experience in data science or analytics, with at least 3 years in a leadership role.
Consulting experience preferred
Consistent track record of using data science to drive significant business impact
Strong understanding of data science and analytics, predictive modeling, and sophisticated diagnostics techniques.
Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
Outstanding leadership skills with the ability to empower and inspire a team.
Outstanding communication and interpersonal skills, with the ability to articulate insights and complex concepts to a non-technical audience.
Experience with big data technologies and tools (e.g., Hadoop, Spark, SQL) and programming languages (e.g., Python, R, Java).
The base pay range for this position is expected in the range below:
$183,200 - $244,600These jobs might be a good fit
Intel Vice President Data Center Group Silicon Design United States, California, San Jose
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Center Group.
The exponential growth of data and some of the fastest growing workloads such as artificial intelligence, high-performance computing and security are driving rapid evolution of data center technologies from the cloud to the network and to the edge. The Data Center Group serves the industry and our ecosystem partners with innovative hardware and software solutions that encompass CPU, GPU, FPGA, accelerators and XPU ingredients, while simultaneously evolving to deliver scalable systems that encompass compute, connectivity, memory, security, sustainability and other foundational platform technologies required to be efficiently scalable, easy for developers and deliver meaningful solutions for business outcomes.
Position Overview
market opportunities and drive revenue growth throughData Center product
Technical Leadership & Engineering Excellence
hardware engineering organization responsible for architecture, design, and development of IP blocks and System-on-Chip (SoC) integrated circuit products
Apply broad and deep technicalexpertisein microprocessor designmethodologyand approach for building IP blocks and microprocessors
Ensure alignment between process technology, architecture, design, SoC, software, and platform teams
Business Development & Customer Engagement
Develop and execute comprehensive business development strategies to expand Intel's silicon design footprint in target markets
Lead direct customer engagement initiatives to understand market requirements,identify
Build andmaintainstrategic relationships with key customers, partners, and industry stakeholders across the global SoC ecosystem
Collaborate with sales, marketing, and product teams to develop customer-specific solutions and go-to-market strategies
Drive revenue growth through strategic partnerships, licensing agreements, and custom silicon solutions
Strategic Market Leadership
Utilize deep industry acumen and competitive analysis to achieve and sustain competitive advantage and differentiation for Intel
Engage and influence a broad array of stakeholders, customers, and suppliers across Intel and the broader SoC ecosystem
emerging market trends and customer needs to inform product roadmap and investment decisions
Represent Intel at industry conferences, customer meetings, and strategic partner engagements
Organizational Leadership
Partner effectively with alarge, global engineering teams, providing direction, support, and fostering a healthy organizational culture
Ensure program execution excellence and that the organization consistently meets or exceeds commitments
Manage complex partner relationships with internal and external customers
Drive cross-functional collaboration to deliver integrated solutions that meet customer requirements
Technical Expertise
expertisein microprocessor architecture, SoC design, and IP development methodologies
Comprehensive understanding of semiconductor design flows, from architecture through manufacturing
Strong knowledge of industry standards, protocols, and emerging technologies in the SoC ecosystem
Experience with advanced process technologies and their impact on design and business strategies
Business & Leadership Skills
Demonstrated success in driving significant revenue growth through customer engagement and business development
Proven ability to build andmaintain
track recordofidentifyingand capturing new market opportunities in the semiconductor space
Experience in managing P&L responsibility and driving business unit profitability
Excellent negotiation skills with experience in complex licensing and partnership agreements
Core Competencies
Exceptional communication and presentation skills with ability to engage technical and business audiences
Strong analytical and strategic thinking capabilities with data-driven decision-making approach
Proven ability to influence and align diverse stakeholders across complex, matrixed organizations
Experience working in global, multicultural environments with distributed teams
Strong program management skills withtrack recordof delivering complex, multi-year engineering programs on time and within budget
Qualifications
BS Degree in Electrical Engineering, Computer Engineering, or related technical field
15+ years of progressive leadership experience in semiconductor industry with focus on silicon design and development
10+ years of executive leadership experience managing large, global engineering organizations (500+ engineers)
track recordof 8+ years in business development, customer engagement, or commercial roles within the semiconductor industry
Preferred Qualifications
experience in customer-facing roles with major OEMs, system integrators, or cloud service providers
Background in emerging technologies such as AI/ML accelerators, automotive silicon, or edge computing solutions
Experience with Intel's product portfolio and ecosystem partnerships
International business development experience, particularly in Asia-Pacific markets
Track recordof successful M&A integration or joint venture management
Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US: 999.00 USD - 999,999.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 12/23/2025These jobs might be a good fit
MongoDB Senior Solutions Architect United States, California, San Francisco
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- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
MongoDB Product Suite Mastery
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
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Unity Senior Architect Adaptive Planning Workday United States, California, San Francisco
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- Lead the design of complex, scalable Adaptive Planning solutions, ensuring data integrity and seamless information flow.
- Lead the technical solutioning for all major FP&A initiatives, from initial discovery and design through to implementation and post-production support.
- Take ownership of and provide hands-on, on-site support for urgent and business-critical production issues, ensuring swift resolution and minimal business disruption. Lead a junior engineer with day-to-day operations and issue resolution.
- Translate complex business requirements into technical specifications and model architecture, ensuring alignment with overall business strategy. Continuously identify opportunities for process improvements and tool optimization for the FP&A and other business teams.
- Serve as a subject matter expert for business stakeholders, troubleshooting process and technical issues in a timely manner, with a focus on upholding best practices.
- Extensive Adaptive experience, including hands-on experience designing, building and maintaining Adaptive Planning models with a proven portfolio of successfully architected and delivered large-scale, high-impact Adaptive Planning projects.
- Deep expertise in data modeling, system integration, and performance optimization within a sophisticated enterprise environment.
- Strong sense of ownership and accountability with the ability to operate at a high degree of autonomy in a fast-paced, dynamic setting.
- Excellent communication skills with the ability to break down complex requirements and explain complex technical designs and trade-offs to diverse audiences
- A strong desire to learn and be curious with new technologies, including opportunities with AI.
- Adaptive Planning Certification
- Background/experience in Financial Planning and Analysis
- Knowledge of LLM and proven experience with implementation of AI features in finance systems/processes
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$170,000—$210,000 USDThese jobs might be a good fit
Unity Senior Product Manager Data United States, California, San Francisco
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- Define data flow from data generation or ingestion, through transformation and storage, to consumption for machine-learning models or analysis.
- Work to deeply understand the data needs of internal customers and collaborate with engineering on the best ways to execute on those requirements.
- Define and articulate a clear vision and strategy for the data products you manage, aligning with Unity’s overall objectives.
- Translate complex requirements of large data initiatives into clear actionable items.
- Prioritize data initiatives across a wide range of internal stakeholders.
- Lead and motivate a cross functional team of engineers and analysts.
- Experience as a data product manager working with large volumes of data at scale.
- Exceptional communication and influence skills with the ability to work with cross functional stakeholders across the organization.
- Deep domain knowledge in data modeling, database design, and data lakehouse architectures with the capability to drive technical decisions with engineering colleagues.
- Strong analytical and data driven decision making skills.
- Knowledge and hands-on SQL experience.
- A demonstrated track record of delivering results through shipping products.
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$170,000—$205,000 USDThese jobs might be a good fit
Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- At least 3 years of experience in managing analytics teams
- Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Experience in Advanced Analytics: Causal Inference and ML models.
- Fluent in SQL and Python
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
These jobs might be a good fit
