Job Summary

Synechron is seeking an experienced Palantir Foundry Specialist to support a strategic global client within the Engineering/EPC domain. The role involves designing, developing, and maintaining scalable data solutions leveraging the Palantir Foundry platform, enabling data-driven decision-making and operational efficiency. This high-visibility position demands a candidate with expertise in data engineering, platform development, and stakeholder collaboration, contributing to enterprise transformation initiatives and continuous system improvements.

Software Requirements

Required Software Proficiency:

• Palantir Foundry (latest version support) — hands-on experience in developing, deploying, and managing robust data pipelines and applications
• Python — proficiency supporting automation, scripting, and model integration (latest version support)
• SQL — advanced skills for data modeling, transformation, validation, and loading supporting enterprise data workflows
• API integration frameworks supporting ingestion and data exchange support supporting connected systems
• Data governance, security, and compliance tools aligned with industry standards
  
  

Preferred Software Skills:

• Palantir Ontology, Pipeline Builder, Code Repositories supporting version control and operational workflows
• Cloud platforms (AWS, Azure, GCP supporting deployment and scalability) (preferred)
• Data visualization/reporting tools like Power BI or Tableau supporting insight delivery (preferred)
• Big Data tools: Apache Spark, Hadoop (supporting large-scale data processing, preferred)
  
  

Overall Responsibilities

• Lead the design, development, and optimization of scalable data pipelines and workflows within Palantir Foundry supporting enterprise analytics and data migration projects
• Build and configure data models, ontologies, and dashboards supporting operational and strategic decision-making
• Collaborate with business stakeholders, data science teams, and technical experts to understand requirements and translate them into effective, scalable solutions
• Support data integration, validation, and reconciliation processes supporting compliance and operational resilience
• Drive automation of data pipelines, model deployment, and system configuration to support continuous delivery
• Support environment setup, system upgrades, and migration activities supporting enterprise growth
• Implement data governance and security policies aligned with industry standards (e.g., ISO 27001, GDPR)
• Document architecture, workflows, and operational procedures supporting transparency and audit readiness
  
  

Technical Skills (By Category)

• Languages & Frameworks (Essential):
• Python: core language for scripting, automation, and integration support support
• Palantir Foundry tools supporting pipeline development, model deployment, and ontology management
  
  

• Data & Model Management:
• Knowledge of data modeling, data lineage, and ontology creation supporting enterprise data governance
• Experience with data validation and reconciliation supporting compliance and operational support
  
  

• Cloud & Infrastructure:
• AWS, Azure, or GCP supporting cloud-native environment deployment (preferred)
  
  

• Tools & Platforms:
• Palantir Ontology, Pipeline Builder, and code repositories supporting version control and data workflows
• Visualization tools like Power BI/Tableau supporting business intelligence insights (preferred)
  
  

• Security & Governance:
• Knowledge of encryption, access controls, and industry compliance supporting data privacy and security (preferred)
  

Experience Requirements

• 4+ years supporting enterprise data platforms using Palantir Foundry or similar platforms supporting large-scale data integration and analytics in regulated environments
• Proven experience designing, deploying, and maintaining scalable, compliant data pipelines supporting enterprise decision-making
• Hands-on experience with data modeling, ontology management, and data governance
• Experience supporting cloud deployments (AWS, Azure, GCP) supporting enterprise data strategies (preferred)
• Background supporting or implementing automation and deployment workflows supporting enterprise operations in critical industries
  
  

Day-to-Day Activities

• Develop, validate, and optimize data pipelines, models, and workflows supporting enterprise analytics and migration efforts
• Collaborate with business and technical teams to translate requirements into scalable and secure solutions supported by Palantir Foundry
• Support data migration, environment setup, system upgrades, and continuous automation
• Conduct data validation, reconciliation, and security assessments supporting compliance initiatives
• Troubleshoot pipeline performance, data discrepancies, and system issues proactively
• Maintain comprehensive documentation of data models, workflows, security controls, and deployment procedures
• Support operational workflows including data ingestion, ontology updates, and system enhancements supported by Palantir tools
  
  

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, or related technical disciplines
• 4+ years supporting enterprise data platforms, with supported experience in Palantir Foundry or similar environments supporting high-volume, compliant data systems
• Certifications supporting Palantir Foundry, cloud platforms (AWS, Azure, GCP), or data governance are a plus
• Proven ability to deploy secure, scalable, and compliant data solutions supporting enterprise operations in regulated sectors
  
  

Professional Competencies

• Strong analytical and troubleshooting skills supporting complex data pipelines and model deployment
• Leadership and mentorship abilities to guide junior team members and foster best practices in data engineering
• Effective stakeholder communication for requirements gathering and operational documentation
• Adaptability supporting evolving data standards, cloud integrations, and security protocols
• Strategic thinking in designing scalable, secure, and compliant data ecosystems supporting business growth
• Organizational skills to manage multiple data flows, ontologies, and system upgrades effectively
  
  

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice