Senior Staff Enterprise Architect, Data

MongoDB is seeking a Senior 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.

• Design semantic layer architecture standardizing business metrics enterprise-wide.
• Define governance guardrails ensuring natural language queries access validated master data sources.
• Develop Master Data strategy for Customer and Product domains, with Finance and People to follow.
• Define cross-cloud data integration strategy and reference architecture, specifying patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness.
• Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People.
• Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification.
• Define data ingestion architecture reducing availability from weeks to 3-5 days (batch) and under 15 minutes (real-time), specifying ELT patterns using CDC.
• Establish build vs. buy frameworks for Data Platform, ETL, Data Quality, and Master Data tooling.
• Design data solutions for priority initiatives (customer 360, financial reporting, AI pipelines).
• Apply product thinking to data platforms, treating internal consumers as customers.
• Lead solution scoping workshops, provide effort estimates, and identify dependencies.
• Participate in design reviews, conduct quarterly audits, and serve as early adopter of MongoDB Atlas and Voyage AI.
• Define data lineage strategy and technical requirements, with coverage targets for financial/AI data and operational dashboards.
• Design automated data quality frameworks with validation rules, anomaly detection, and quarantine workflows.
• Collaborate with InfoSec on data access governance and security monitoring tools.
• Establish data architecture principles and design patterns, chair bi-weekly architecture review board meetings, and maintain ADRs.
• Conduct impact assessments for major initiatives and present design alternatives with risk/benefit analysis.
• Create and maintain architecture documentation: data flow diagrams, master data models, integration patterns, and technology stack references.
• Build architecture community of practice, develop data literacy enablement, and mentor 5-10 data engineers and architects.

• 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.
• 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.

Base salary range for this role in the U.S. is $177,000—$349,000 USD. 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.

Apply via the provided link.