Monte Carlo Data

Senior Solutions Architect, Post-Sales (West Coast)

United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Data Observability, Data TechnologyIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: Not specified
  • About Monte Carlo: Monte Carlo is the data reliability company, the creator of the industry's first end-to-end Data Observability platform. They work with data-driven companies like Fox, Pepsico, Amazon, and American Airlines to help them achieve trust in data. Named an Inc. Best Workplace for 2024 and a DBTA Readers Choice for Best Data Observability Solution for 2024.

About the Role

  • We are looking for an experienced customer-facing Solutions Architect to support our largest enterprise customers.
  • This role requires a strong technical aptitude, extensive customer-facing experience, and the ability to oversee multiple engagements.
  • The position is based on the West Coast.

Responsibilities

  • Be a strategic technical counterpart to the Success team at Monte Carlo.
  • Define project scope based on the customer's needs and requirements, guide clear outcomes, and communicate technical and value propositions.
  • Deliver implementations of Monte Carlo, including on complex data lake environments.
  • Define "best practice" approaches for achieving a desired technical capability through Monte Carlo.
  • Deliver training and enablement on advanced technical concepts to technical customers.
  • Create collateral, documentation, and other technical materials as needed.
  • Advocate on behalf of customers cross-functionally with Product, Engineering, Support, and Sales.
  • Analyze customer trends and identify opportunities to drive product consumption growth.

Requirements

  • Experience:
    • 3-5 years of experience in a technical, customer-facing role, preferably within the data technology space.
    • Use case discovery, scoping, and delivering complex solutions to multiple audiences.
    • Working with Enterprise customers before and managing multiple stakeholders and priorities.
    • Working in a high-performing team.
    • Identifying and improving internal and customer-facing processes.
    • Previous experience in a startup environment.
  • Skills:
    • Finding creative solutions to unlock the value of the product.
    • Understanding of cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, SQL, and working with APIs.
    • Networking experience is a plus.
  • Attributes:
    • High degree of ownership and appetite for ambiguity.
    • Relentless desire to solve customer problems.

Application Instructions

  • Note: Salary information was not provided in the job description. Interested candidates should submit their resume and cover letter through the application process.

Skills

Data Lakes
ETL
BI Solutions
SQL
APIs
Cloud Data Warehousing
Customer-Facing
Technical Communication
Training & Enablement
Solution Design

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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