Live opening · Posted 11 days ago

Solutions Engineer

TheCorporate · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 11 days ago
CompanyTheCorporate
LocationUnited States (Remote)
Salary$100/hr - $113/hr
Work modeYes
SkillsAWS, Azure, GCP
SourceLinkedin
ListedPosted 11 days ago

About the role

Description supplied by the original job listing.

Job Title: Solutions Engineer IV
Location: Remote within the U. S
Duration: October 26, 2026 – December 31, 2026
Important Note
This role will be 90% remote but the managers preference is to have local candidates only.
Job Description
Required Qualifications
Education
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
Master's degree preferred.
Experience
8+ years of experience managing complex technology or data-driven projects.
5+ years leading enterprise data platform implementations.
Experience delivering projects involving:
Snowflake
Palantir Foundry
Ataccama
Data Engineering and Data Management solutions
Proven success managing cross-functional technical teams.
Experience working within Agile and Waterfall delivery frameworks.
Required Technical Skills
Data Platforms
Palantir Foundry
Snowflake
Ataccama
Cloud Data Platforms (AWS, Azure, or GCP)
Data Engineering
ETL/ELT development
Data warehouse and lakehouse architectures
Data pipeline orchestration
Data integration frameworks
SQL and data modeling concepts
Data Governance & Quality
Master Data Management (MDM)
Data Quality Management
Metadata Management
Data Governance Frameworks
Data Lineage and Cataloging
Project Management
Agile/Scrum
Jira, Azure DevOps, or similar tools
Program planning and governance
Budget and resource management
Risk and dependency management
Preferred Qualifications
PMP, PgMP, Scrum Master, SAFe Agilist, or equivalent certification.
Experience with enterprise utility, energy, healthcare, financial services, or large-scale regulated industries.
Knowledge of data privacy and compliance frameworks.
Experience with DevOps and DataOps practices.
Familiarity with AI/ML enablement through enterprise data platforms.
Skills: palantir foundry,data quality,data engineering,data governance,snowflake,data platforms

Work arrangement
Yes

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