Enterprise/Data Architect

  • Reston, VA
  • Posted 20 days ago | Updated 2 days ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Agile
Amazon Web Services
Analytics
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Confluence
Dashboard
Data Engineering
Data Governance
Data Integration
Data Lake
Financial Services
Fraud
Generative Artificial Intelligence (AI)
GitLab
JIRA
LexisNexis
Machine Learning (ML)
Microsoft Exchange
Modeling
Ontologies
PySpark
Python
Real-time
Regulatory Compliance
SAP BASIS
SFTP
SQL
SSO
Secure Shell
Software Engineering
TLS

Job Details

Job Role: Enterprise Architect

Location: Reston, VA

Duration: 6-12 Months

Job Description
Lead the end-to-end implementation of Palantir Foundry applications, including ontology modeling, pipeline development, and operational dashboards.
Collaborate with internal stakeholders and Palantir engineers to define MVPs, red-flag logic, and iterative delivery milestones
Build and optimize data pipelines using Pyspark, Python, and Foundry Code Workbooks to ingest and transform structured and unstructured data
Integrate Foundry with enterprise systems such as AWS Data Lake, and external APIs (e.g., LexisNexis, TREPP)
Develop and maintain secure data exchange mechanisms (e.g., SFTP PUSH/PULL, SSH endpoints) for high-volume document transfers
Support Foundry GenAI chatbot capabilities and real-time analytics for fraud investigations and compliance workflows

Required Qualifications
5+ years of experience in software engineering or data engineering roles, with at least 2 years working directly with Palantir Foundry.
Proficiency in Python, PySpark, SQL, and experience with Foundry Pipelines, Ontology, and Code Workbooks.
Strong understanding of data integration patterns, security protocols (SSO, TLS, Zscaler), and field-level encryption
Experience with cloud platforms (AWS preferred) and enterprise data governance practices.
Excellent communication skills and ability to work cross-functionally with technical and non-technical teams.

Preferred Qualifications
Experience with Palantir AIP and Apollo for AI/ML model deployment etc.
Familiarity with fraud detection, risk modeling, or financial services data domains.
Prior experience in Agile environments with tools like Jira, Confluence, and GitLab.

EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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