Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the comprehensive data strategy for the product line, which encompasses data modeling, migration planning, ETL development, data governance, and analytics.

• Create and sustain product-specific data models and enterprise data architecture that adhere to product line standards.

• Oversee data mapping, extraction, transformation, migration, and analytics processes from legacy systems to updated platforms.

• Formulate and uphold the Data Mapping and Validation Plan, Data Migration Plan and Schedule, and Data Mapping Document.

• Design, develop, test, and manage data tools.

• Perform data profiling, cleansing, enrichment, and validation in accordance with enterprise standards.

• Ensure that the data provided to third parties meets specified standards.

• Assist in the development of a cloud data ecosystem and facilitate automated data exchange between internal and external supply chain partners.

• Create and maintain bi-directional interfaces between the logistics platform and enterprise EHR, financial, and other systems.

• Implement AI/ML algorithms and Generative AI functionalities for predictive forecasting and near real-time inventory and demand insights.

• Establish a centralized supply chain dashboard that monitors purchase orders, demand variations, and inventory levels.

• Ensure that data architecture and migration processes comply with relevant security and privacy regulations.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Data Science, Information Management, or a related discipline.

• Over 8 years of experience in data architecture and data engineering.

• Prior experience in federal health IT is highly preferred.

• Proven experience in ETL development, data migration, and data governance within large-scale enterprise environments.

• Expertise in database engineering, data modeling, and legacy logistics/supply chain systems.

• Familiarity with AWS, Azure, government cloud, and data pipeline tools.

• Understanding of FHIR data standards and HL7 messaging for healthcare interoperability.

• Knowledge of AI/ML and Generative AI frameworks pertaining to predictive analytics and supply chain optimization.

• Comprehension of federal data governance standards and HIPAA/PHI requirements.

• Eligibility for a federal background investigation is required.

• Candidates must be based in the US.

• Preferred certifications include: Certified Deployment Professional, Certified SAFe Agile Architect, Databricks Certified Data Engineer, Databricks Certified Generative AI Engineer, or CDMP.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with company match.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a supportive work environment.