Job Description

Archetype is seeking a Sales Architect to work with our customers prospects to educate them on the modern data stack and help them think through well-designed, modern analytical solutions. This role’s responsibilities include

• Lead sales engineering efforts across the company and develop Archetype collateral to educate and engage our prospects and customers on the modern data stack including developing reference architecture, case studies, and POCs.

• Working with prospects’, customers’ and Archetype’s executives, data analysts, product managers, data architects, and engineers to define requirements, design solutions, and build/test/deploy these solutions

• Be deep and broad with your technical and functional skill set to support end-to-end analytics across a variety of industries

• Stay up to speed on emerging technologies and dynamic in how we evolve our approach for our customers

• Support sales processes by participating in scoping calls, solution design workshops, developing estimates and prototyping solutions

Required Qualifications: (Must Have)

• 10+ years of experience in database and data pipeline development

• 10+ years of experience in data warehouse design (cloud or on-premise)

• Proven experience in end-to-end modern data infrastructure development

• Top 1% of SQL practitioners

• Exceptional presentation skills catering to both executive and technical audiences

• Proven ability to envision solutions and estimate end-to-end data platform projects

• Comfort with Linux and Windows command line functionality

• Ability to make sense of ambiguity and bring focus to technical conversations

• Knowledgeable of best practices with the ability to convey to non-practitioners

• Champions modern, disciplined development process (agile, source control, testing, CI/CD

• Exposure to multiple cloud providers: AWS, Azure, Google Cloud

• Knowledge of visualization tools such as ThoughtSpot, Sigma, Tableau, Looker, or Power BI

Preferred Qualifications: (Nice-To-Have)

• Certifications and experience with both cloud and on-premise DBMSs such as: Snowflake, RedShift, BigQuery, SQL Server, and Oracle

• Certifications with major cloud providers AWS, GCP, and/or Azure

• Knowledge of machine learning principles, techniques, and tools

• Comfort with scripting languages (JavaScript, Python, or Ruby)

• Proven experience working with structured and semi-structured data

• Proven experience working with and creating REST web services and APIs