Enterprise Architect jobs at Mongodb in United States, New York

• Collaborate with MongoDB AMP presales team and customer stakeholders to assess legacy applications, their architecture, and dependencies
• Design target-state microservice architectures on MongoDB that meet customer business, technical, and operational requirements
• Develop modernization roadmaps using the strangler pattern to progressively replace legacy components with modern MongoDB-based services
• Define and document data synchronization strategies for hybrid (part legacy / part modernized) deployment states
• Architect solutions for integration and data consistency across the broader enterprise application landscape
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Produce presales deliverables including initial solution architectures, modernization proposals, and presentations to communicate design merits
• Produce post-sales detailed technical designs and guide MongoDB services teams and customer teams during implementation
• Provide architectural governance and direction throughout modernization projects to ensure quality, scalability, and best practices

• 8+ years of experience in solution architecture, enterprise architecture, or modernization-focused technical leadership roles
• Proven track record of designing and delivering modern, cloud-native, microservices-based architectures
• Hands-on experience with application modernization strategies, including the strangler fig pattern, domain-driven design, and event-driven architectures
• Demonstrated experience with data architecture, including migration, synchronization, and integration patterns for heterogeneous systems
• Familiarity with at least one of the legacy technology ecosystems being modernized:
• RDBMS-centric applications (PL/SQL, T-SQL)
• Monolithic Java or .NET applications
• Strong customer-facing skills: ability to facilitate workshops, present designs, and influence technical decision-making
• Experience working across both presales (solutioning, proposals) and delivery (detailed design, governance)
• Excellent communication, presentation, and documentation skills
• Willingness to travel as needed for customer engagement (approximately 25% travel)

• 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

• 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

• 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

• 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

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions.

• Prospect into CTOs, Engineering/IT leaders, and technical end users
• Grow a current base of MongoDB customers by landing new workloads through outbound prospecting
• Manage the full sales cycle for all MongoDB Products & Services
• Develop and execute a strategic territory plan to achieve revenue targets
• Collaborate with the sales ecosystem to drive sales initiatives and partnerships
• Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach

• 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts
• Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) is a plus
• Must live in territory (flexible work model)
• Fluent in English

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

• Generate New Business Sales Cycle: Drive the entire sales cycle from prospecting to close, focusing on acquiring 100% net new logos within Core Enterprise accounts
• Collaborate for Success: Collaborate with BDR/SDR teams to maximize your pipeline generation efforts and ensure a steady flow of qualified opportunities
• Account Planning: Build detailed account plans that break down complex organizations into Lines of Business (LOBs), identify key personas within those LOBs (Org Charts), and form strategic Points of View (POVs) on how MongoDB can align with their key challenges and initiatives
• Strategic Prospecting: Strategically prospect into C-Levels, Engineering/IT Leaders, Architects, and technical end-users
• Meet and Exceed Targets: Close business to meet and exceed monthly, quarterly, and annual new business targets
• Forecasting Accuracy: Ensure high forecasting accuracy and consistency in all stages of the sales process
• Partner Collaboration: Partner with Solution Architects and work closely with the Professional Services team to tailor solutions that meet customer needs, ensuring long-term satisfaction and retention
• Leverage Partner Ecosystem: Work in tandem with the enterprise ecosystem partner sales and channel partners to enhance the pipeline and accelerate sales cycles
• Continuous Learning: Participate in our enterprise sales enablement training to continually refine your sales skills and strategies

• Proven track record of closing multiple complex logos with a TAMM above $1M
• Demonstrated ability to articulate the business value of complex enterprise technology to diverse stakeholders
• Familiarity with databases, developers, and open-source technology is a plus
• A history of overachievement, consistently hitting or exceeding sales targets
• Skilled in building and nurturing business champions within target accounts, navigating complex sales cycles with a strategic, consultative approach
• Experience in value selling using a structured process (e.g., MEDDIC, SPIN, Challenger Sales)
• Adept at managing time and resources effectively, with a sound approach to qualifying opportunities
• Exceptional emotional intelligence, with the ability to influence and inspire stakeholders across all levels of an organization
• Ideally based within the territory with the flexibility to travel as needed to meet with key stakeholders and drive sales

• Proven track record of closing logos with a TAMM at or above $3M
• 2+ years of experience selling within the Enterprise Segment, with a proven track record of success
• Advanced understanding of MongoDB products and their application in solving enterprise challenges
• Strong network within the enterprise technology space, which can be leveraged to accelerate pipeline growth
• Experience working within and driving adoption of the MEDDIC sales methodology
• Demonstrated success in collaborating with cross-functional teams, such as Solution Architects and Professional Services, to deliver tailored solutions
• Proven ability to quickly adapt to changing market conditions and customer needs, maintaining a flexible and innovative approach to sales

As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions.

• Prospect into CTOs, Engineering/IT leaders, and technical end users
• Grow a current base of MongoDB customers by landing new workloads through outbound prospecting
• Manage the full sales cycle for all MongoDB Products & Services
• Develop and execute a strategic territory plan to achieve revenue targets
• Collaborate with the sales ecosystem to drive sales initiatives and partnerships
• Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach

• 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts
• Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) is a plus
• Must live in territory (flexible work model)
• Fluent in English

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

MongoDB is growing rapidly and seeking a Data Architect to be a key member of a growing Data Architecture team; overseeing the governance, management and stewardship of data across the organization. As a Data Architect, you will be the bridge between the business and data engineering teams. You will design data models and schemas to produce high-performing, curated datasets in a mixed SQL and NoSQL environment, and drive the implementation to completion. You will populate an enterprise data catalog with key technical and business metadata driving data discoverability, and facilitate the adoption of enterprise data governance policies and procedures.

This role will be based remotely in Austin, New York City, Seattle, or California.

• At least 3 years experience building data models to support structured and semi-structured product data including telemetry
• Highly proficient in SQL. MQL (MongoDB Query Language) knowledge is a plus
• Experienced with at least one distributed query engine or cloud-based data warehouse, such as Trino or BigQuery
• Customer focused, understanding that delivering business value is of utmost importance
• Skilled at eliciting requirements and communicating across a diverse set of engineers and partners
• Familiarity with Python and rudimentary Prompt Engineering
• Well-versed in core data lake, data warehousing and data security concepts
• Familiar with data catalog functionality, business glossaries, metadata management and data lineage
• Familiar with cloud computing concepts and big data storage formats such as Parquet and Iceberg
• Capable of juggling multiple projects simultaneously
• A lifelong learner who strives for continuous improvement

As a Data Architect, you will:

• Partner with Product Owners and other Stakeholders to document data requirements, utilizing your experience to provide insights and add value to the process
• Validate and assess incoming product telemetry data, ensuring alignment with documentation and meeting Product Owners and other Stakeholders' expectations by thorough cross-referencing and testing
• Design data models and schemas within the internal data lake and data warehouse that will be used for analytical and data science consumption
• Create and execute test plans to ensure data is accurate and performance meets SLAs
• Scope and create SQL-based pipelines prioritizing data consistency and accuracy
• Implement data security standards for data access
• Document metadata and lineage in the enterprise data catalog, promoting self-service data discovery and exploration

• In 3 months, you’ll have fully ramped with our Business and Data teams
• In 6 months, you’ll have delivered at least one fully documented data model that provides value to the business
• In 12 months, you’ll have delivered multiple data models across a variety of use cases, and are comfortable working with all aspects of our internal data platform