IT Solutions Engineer

Summary:

• Duration: 4 Months
• Work Mode: 90% Remote
• Location: San Francisco, CA (Managers prefer local candidates)

Responsibilities:

• Manage complex technology or data-driven projects.
• Lead enterprise data platform implementations.
• Deliver projects involving Snowflake, Palantir Foundry, and Ataccama.
• Oversee data engineering and data management solutions.
• Manage cross-functional technical teams.
• Work within Agile and Waterfall delivery frameworks.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. Master’s degree preferred.
• Minimum 8 years of experience managing complex technology or data-driven projects.
• Minimum 5 years of experience leading enterprise data platform implementations.
• Experience with Snowflake, Palantir Foundry, and Ataccama.
• Proficiency in cloud data platforms (AWS, Azure, or GCP).
• Expertise in data engineering, ETL/ELT development, data warehouse and lakehouse architectures.
• Knowledge of data pipeline orchestration, data integration frameworks, SQL, and data modeling concepts.
• Experience in data governance and quality, including Master Data Management, Data Quality Management, Metadata Management, and Data Governance Frameworks.
• Proficiency in project management tools like Jira, Azure DevOps, or similar.
• Skills in program planning, governance, budget, and resource management, as well as risk and dependency management.

Preferred Skills:

• PMP, PgMP, Scrum Master, SAFe Agilist, or equivalent certification.
• Experience in 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.