Solutions Engineer (Enterprise Data Platforms)

Job Title: Solutions Engineer (Enterprise Data Platforms)

Experience: 8+ Years

Location: Bay Area, CA (90% Remote Local Candidates Preferred)

Domain: Utilities / Energy

Duration: Long Term Contract

Primary Skills:

• Palantir Foundry
• Snowflake
• Ataccama
• Data Engineering
• ETL/ELT Development
• Data Warehousing & Lakehouse Architectures
• Cloud Platforms (AWS, Azure, Google Cloud Platform)
• Data Pipeline Orchestration
• SQL & Data Modeling
• Master Data Management (MDM)
• Data Governance & Data Quality
• Metadata Management
• Agile/Scrum

Secondary Skills:

• Jira
• Azure DevOps
• Program & Portfolio Management
• Budget & Resource Management
• Risk & Dependency Management
• Data Lineage & Cataloging
• DevOps/DataOps Practices
• AI/ML Enablement
• PMP / PgMP / SAFe / Scrum Certifications
• Compliance & Data Privacy Frameworks

Job Description:

PG&E is seeking an experienced Solutions Engineer to lead enterprise-scale data platform initiatives and deliver data-driven solutions across the organization. The ideal candidate will possess deep expertise in modern data platforms such as Palantir Foundry, Snowflake, and Ataccama, along with strong leadership capabilities in managing cross-functional technical teams. This role involves overseeing complex technology implementations, enabling data governance, and driving scalable data engineering practices in a highly regulated utility environment.

Roles and Responsibilities:

• Lead end-to-end delivery of enterprise data platform implementations.
• Manage projects involving Palantir Foundry, Snowflake, Ataccama, and cloud-based data ecosystems.
• Collaborate with business and technical stakeholders to define project scope, objectives, and success criteria.
• Oversee the design and implementation of ETL/ELT pipelines and data integration frameworks.
• Drive data governance initiatives including MDM, metadata management, data quality, and lineage.
• Ensure scalable and secure data warehouse and lakehouse architectures.
• Lead cross-functional teams using Agile, Scrum, and Waterfall methodologies.
• Manage project schedules, budgets, resources, risks, and dependencies.
• Utilize tools such as Jira and Azure DevOps for project tracking and delivery management.
• Support AI/ML enablement initiatives leveraging enterprise data platforms.
• Ensure compliance with data privacy, security, and regulatory requirements.
• Provide regular status updates to leadership and drive continuous process improvements.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field (Master's preferred).
• 8+ years of experience managing complex technology or data-driven projects.
• 5+ years leading enterprise data platform implementations.
• Proven experience with Snowflake, Palantir Foundry, Ataccama, and cloud data platforms (AWS, Azure, or Google Cloud Platform).
• Strong understanding of Data Engineering, Data Governance, and Data Management principles.
• Experience working in regulated industries such as Utilities, Energy, Healthcare, or Financial Services preferred.
• PMP, PgMP, Scrum Master, or SAFe certifications are a plus.

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