IT Solutions Engineer IV

Spectraforce
San Francisco, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Francisco, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
JIRA
Azure
Information Systems
Information Engineering
Data Governance
Data Integration
ETL
Data Warehousing
DevOps
Meta-Data Management
Scrum
Cloud Services
DataOps
SQL Databases
Enterprise Data Management
Snowflake
Information Technology
Data Lineage
Data Analytics
Data Management
Data Pipelines

Job description

  • 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

Requirements

  • 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., * 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, * 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.

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