IT Data Engineer developing data pipelines and integrations for Scanfil Group's global IT organization. Collaborating across teams to enhance data solutions and reporting capabilities.
About the role
- Data Architect designing and implementing data architectures supporting analytics and ML for federal clients. Collaborating with teams to translate mission needs into robust data solutions.
Responsibilities
- Lead the end‑to‑end design of data architectures supporting analytics, AI/ML, and operational reporting
- Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks
- Architect solutions for large‑scale structured and semi‑structured datasets, including federal financial and operational data
- Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry
- Establish architecture standards for data integration, metadata, lineage, and data quality
- Ensure architectures align with federal security, compliance, and data governance requirements
- Partner with AI/ML, MLOps, and analytics teams to enable production‑grade model development and deployment
- Guide implementation teams through complex architectural decisions and trade‑offs
- Support system design reviews, technical documentation, and government architecture forums
- Mentor junior architects and engineers while providing technical leadership across engagements
Requirements
- An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field
- FIVE (5) or more years of experience in data architecture, data engineering, or enterprise analytics roles
- Hands‑on experience with Databricks (Spark, Delta Lake, performance optimization, production architectures)
- Hands‑on experience with Palantir Foundry, including data pipelines, ontology, and analytics enablement
- Strong experience designing enterprise data architectures supporting analytics and AI/ML workloads
- Experience with SQL and distributed data processing frameworks
- Experience integrating multiple data sources and managing complex data pipelines
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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