Data Platform Architect (Data Engineering) - Applied Field Engineering
SnowflakeSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Data & AnalyticsIndustries
Requirements
Candidates should possess 10+ years of experience in Sales Engineering, Sales, or Customer Success for a technical product, with at least 5 years in a leadership role. They must have deep expertise in data products and solutions, including cloud data warehousing, data lakes, ETL workflows, BI solutions, and SQL. Strong communication skills and a data-driven approach to decision-making are also required.
Responsibilities
As the Global Head of Field Engineering, you will lead and scale a world-class Field Engineering team to support Monte Carlo’s global growth, hiring and mentoring top talent. You will own and refine technical sales strategies, drive technical enablement, evangelize Monte Carlo’s solutions to customers and stakeholders, and collaborate cross-functionally with product, engineering, and customer success teams to shape product direction and enhance customer experience.
Skills
Sales Engineering
Sales
Customer Success
Data products
Cloud data warehousing
Data lakes
ETL workflows
BI solutions
SQL
Team Building
Communication
Business Acumen
Technical and Non-Technical Communication
Startup Experience
Leadership
Monte Carlo Data
Provides end-to-end data observability solutions
About Monte Carlo Data
Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.
Key Metrics
San Francisco, CaliforniaHeadquarters
2019Year Founded
$229.6MTotal Funding
SERIES_DCompany Stage
Data & Analytics, AI & Machine LearningIndustries
201-500Employees