דרושים Data Architect ב-United States, California, San Francisco

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

• 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

• 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.

• 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.