Senior Staff Enterprise Architect, Data at MongoDB

This is a high-level strategic role for a veteran data expert with over 12 years of experience who can bridge the gap between complex engineering and business value. You should have a deep background in multi-cloud data architecture (AWS/Azure/GCP), Master Data Management (MDM), and modern AI/ML enablement. MongoDB is looking for a "technical pragmatist" who can design a unified data landscape while mentoring engineers and influencing executive roadmaps. The compensation package is highly competitive, topping out at $349,000/year, reflecting the role's seniority and "Senior Staff" status. While the role requires a hybrid presence in Palo Alto, San Francisco, or Seattle, you’ll be at the forefront of the company's AI transformation—specifically working with RAG architectures, vector search, and automated data observability. **You might be a good fit if you...** * Have led large-scale data migrations or MDM strategies for Finance, Sales, or Product domains. * Are proficient in SQL and Python and have worked extensively with Snowflake, Databricks, or BigQuery. * Can demonstrate a track record of reducing data latency (moving from weeks to real-time/minutes). * Enjoy a "build vs. buy" mindset, evaluating vendors objectively while advocating for internal architectural standards.