Senior Palantir Foundry Data Engineer

Contract type - W2/C2C/1099

Job Responsibilities

Partner with lead Program Manager to implement Data Quality improvement programs to systematically inventory company's critical electric asset data, capture metadata, measure data quality, and drive the execution of high-priority data improvements.

Build strong relationships with business data stewards, asset data system specialists, IT Foundry ontology team, IT data quality team and IT architecture team to facilitate program implementation.

For critical datasets, lead the documentation of metadata in Collibra, integration of data into Foundry, development of data quality rules and guide development of dashboards to monitor data quality

Measure and report KPIs to evaluate ADQ program progress and status for clients and senior leadership

Perform triage and remediation on data quality rule errors to ensure rules are functional.

Continuously monitor data quality rule performance to ensure that rules are functional and triage/remediate data quality rule errors when they arise.

Partner with Business Data Stewards to update, modify or add data quality rules.

Ensure data quality action plans are implemented where data fails to meet established data governance standards.

Advise Program Manager on strategy and roadmap to reflect continuous improvement and expansion into data types beyond Asset Registry and Asset Condition data (e.g., event data)

Technical Skills SQL, MS Excel, Python, Palantir Foundry, ETL, Informatica, PowerBI, etc.

Qualifications

Minimum

BA/BS Degree in Data Science, Computer Science, Engineering or other related field or equivalent work experience

Ten (10) years of related work experience

Excellent communication skills.

Desired

Experience in regulated electric or gas utility asset management and/or operations

Data management and data quality tool experience

Detail-oriented with ability to focus on managing multiple reports and processes

Even-tempered, manages conflicts in a positive manner, and comfortable interacting with individuals at all levels

Excellent organizational, verbal, and written communication skills with proven ability to establish and cultivate relationships with vendors and business SMEs.

Project management / implementation of data management policies and standards.

Experience with relevant project management tools and methodologies (Agile, Design thinking, Kanban, etc.).

Demonstrated executive engagement and presentation skills.

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