[Remote] Senior Solutions Architect, Post-Sales (West Coast) at Monte Carlo Data

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Data Observability, Data TechnologyIndustries

Skills

Key technologies and capabilities for this role

Data LakesETLBI SolutionsSQLAPIsCloud Data WarehousingCustomer-FacingTechnical CommunicationTraining & EnablementSolution Design

Questions & Answers

Common questions about this position

Is this position remote or office-based?

The position is remote and based on the West Coast.

What is the salary for this Senior Solutions Architect role?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 3-5 years in a technical, customer-facing role, preferably in data technology, with understanding of cloud data warehousing, data lakes, ETL, BI, SQL, and APIs. Experience with use case discovery, scoping complex solutions, working with enterprise customers, and in high-performing teams or startups is essential.

What is the company culture like at Monte Carlo?

Monte Carlo emphasizes working with data-driven companies, high-performing teams, ownership, appetite for ambiguity, and a relentless desire to solve customer problems. They have been named an Inc. Best Workplace for 2024.

What makes a strong candidate for this position?

Strong candidates have 3-5 years of technical customer-facing experience in data technology, skills in cloud data warehousing, data lakes, ETL, SQL, and APIs, plus attributes like high ownership, comfort with ambiguity, and experience in startups or high-performing teams.

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.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$229.6MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Increased competition from Cribl and BigEye may impact market share.

Technical challenges in integrating with vector databases could affect performance.

New Chief Revenue Officer may lead to strategic shifts disrupting operations.

Differentiation

Monte Carlo offers end-to-end data observability for real-time data monitoring.

The platform integrates with tools like Slack, Teams, and JIRA for seamless communication.

Monte Carlo's root cause analysis speeds up data quality incident resolution.

Upsides

Growing demand for data observability tools boosts Monte Carlo's market potential.

Integration with vector databases opens new opportunities in AI model development.

Real-time data monitoring solutions are increasingly sought after by businesses.

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