PCGJP00005210 : IT Solutions Engineer possible ref

This is a remote position.

Requisition Number: PCGJP00005210

Title: IT Solutions Engineer

Pay Rate: $100.00

Location: Remote (ONLY OPEN TO CA LOCALS)

Familiarity with AI/ML enablement through enterprise data platforms.

Experience delivering projects involving:

• Snowflake
  
• Palantir Foundry
  
• Ataccama
  
• Data Engineering and Data Management solutions
  
• Cloud Data Platforms (AWS, Azure, or GCP)
  

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.