About the Role
We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms.
Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security.
We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model.
Key Responsibilities
Data Strategy & Roadmap
Systems Design & Solution Leadership
Technical Execution & Delivery
Governance, Standards & Risk Management
Team Leadership & Evangelism
Qualifications
- 12+ years in IT with 7+ years in Data Architecture, Data Engineering, or Enterprise Architecture roles
- 10+ years across three or more: data architecture, data engineering, database management, analytics, or cloud infrastructure
- Proven ability to architect solutions that bridge Data Lakes and Warehouses in separate clouds (e.g., AWS, Azure, Google Cloud)
- Hands-on experience with Master Data and data lineage tools. Must have designed master data models for at least two domains: Customer, Product, Finance, or People
- Experience evaluating or implementing AI/ML tools for data quality monitoring and automated data classification
- Proven success reducing data latency using CDC, streaming, or real-time integration patterns.
- Proficient in SQL and Python. Experience with modern data platforms (Snowflake, Databricks, BigQuery, or similar). RAG architectures and vector databases are a plus
- Led architecture for large-scale implementations: CRM, Enterprise Data Platforms, Data Lakes, or ERP systems
- Experience managing vendor evaluations, contract negotiations, and ongoing partner relationships
- Experience and understanding of MongoDB products and capabilities is a plus
- Bachelor's degree in computer science, computer engineering, electrical engineering, systems analysis, or a related field; MS or advanced degree is preferred
Core competencies
- Leadership: Leads cross-functional teams through influence, navigates conflict, and drives results without direct authority
- Communication: Translates complex technical concepts for executive and business audiences. Strong written, visual, and presentation skills
- Financial & Analytical: Builds business cases with TCO analysis and ROI projections. Defines measurable success metrics
- Change Management: Drives technology adoption while addressing stakeholder concerns and resistance
- Technical Pragmatism: Cuts through vendor hype. Makes build vs. buy decisions grounded in business value and risk
- Influence Without Authority: Shapes technical direction through credibility and collaboration, not mandate
- Methodologies: Working knowledge of Agile, ITIL, and design thinking practices
Success Measures
- Data Foundation Delivery (12-18 months)
- Speed and Access Improvements (12 months)
- Platform Modernization (18 months)
- Adoption and Value Realization
- Technical Excellence
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
REQ ID: 1273368200
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:
$177,000—$349,000 USD