# Senior Staff Enterprise Architect, Data

**Company:** [MongoDB](https://hotfix.jobs/companies/mongodb)
**Location:** Palo Alto, CA, San Francisco, CA, Seattle, WA
**Role:** Data Engineering
**Salary:** $177k – $349k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, Snowflake, Databricks, BigQuery, MongoDB, AWS, Azure, GCP, Master Data Management
**Posted:** 2026-02-27

> Leads enterprise data architecture strategy, designs multi-cloud integrations, Master Data Management, and AI-enabled data quality frameworks. Requires 7+ years in data architecture/engineering and expertise in modern data platforms.

## Job Description

## Key Responsibilities

### Data Strategy & Roadmap
- 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 (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy.
- Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness.
- Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People.

### Systems Design & Solution Leadership
- 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).
- 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.

### Technical Execution & Delivery
- Participate in design reviews and checkpoints to validate alignment with architectural standards.
- Serve as early adopter of MongoDB Atlas and Voyage AI (including vector search for RAG).

### Governance, Standards & Risk Management
- Define data lineage strategy and technical requirements.
- 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.
- Conduct impact assessments for major initiatives.
- Create and maintain architecture documentation.

### Team Leadership & Evangelism
- Build architecture community of practice.
- Develop data literacy enablement.
- Mentor 5-10 data engineers and architects.

## 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.
- 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.

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