Sales Solutions Architect, West
SnowflakeSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Data Observability, Data TechnologyIndustries
Requirements
Candidates should possess 3-5 years of experience in a technical, customer-facing role, preferably within the data technology space, and a firm understanding of cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, SQL, and working with APIs. Experience working with Enterprise customers and managing multiple stakeholders and priorities is also required, along with experience identifying and improving internal and customer-facing processes.
Responsibilities
The Senior Solutions Architect will be responsible for defining project scope based on customer needs, guiding clear outcomes, and communicating technical and value propositions, delivering implementations of Monte Carlo, including on complicated data lake environments, defining best practice approaches for achieving technical capabilities, delivering training and enablement on advanced technical concepts, creating collateral and documentation, advocating on behalf of customers cross-functionally, analyzing customer trends, and identifying opportunities to drive product consumption growth.
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2019Year Founded
$229.6MTotal Funding
SERIES_DCompany Stage
Data & Analytics, AI & Machine LearningIndustries
201-500Employees