Sr. Data Platform Engineer

We are seeking a Senior Data Platform Engineer with deep expertise in Snowflake, cloud data platforms, and AI/GenAI technologies to design, build, and optimize scalable data solutions. This role will lead to the development of modern data platforms while enabling AI-driven analytics, intelligent automation, semantic search, and machine learning capabilities within the Snowflake ecosystem., * Architect scalable, cost-efficient data pipelines and platform components

• Architect and maintain a Snowflake-based medallion data lake (Bronze ? Silver ? Gold) optimized for analytics, BI, and scalable downstream consumption.
• Define standards for data modeling, transformation, testing, and documentation
• Lead the design of domain-oriented data products for clinical, RCM, VBC, and operational use cases
• Evaluate and implement new technologies to improve performance, reliability, and automation

Advanced Data Pipeline Engineering

• Build and optimize ELT/ETL pipelines using Snowflake, dbt, Airflow, Fivetran, Python
• Design ingestion frameworks for EMR, RCM, claims, ERP, HRIS, CRM, and digital systems
• Implement streaming or near-real-time ingestion (Kafka/Kinesis optional)
• Ensure pipelines meet SLAs for freshness, accuracy, and availability

Data Modeling & Transformation

• Develop advanced dbt models, macros, tests, and reusable transformation frameworks
• Build semantic layers and metric definitions for BI and analytics teams
• Implement data quality, lineage, and metadata standards across domains

Snowflake AI & GenAI Solutions

• Design and implement AI-powered solutions using Snowflake Cortex.
• Develop and support use cases leveraging Cortex Analyst, Cortex Search, and Cortex Agents.
• Build Retrieval-Augmented Generation (RAG) architectures, semantic search, and vector-based retrieval solutions.
• Enable natural language access to enterprise data and AI-driven analytics capabilities.

Document Intelligence & Unstructured Data

• Develop intelligent document processing solutions using Snowflake Document AI.
• Extract, classify, and process information from invoices, contracts, forms, and other unstructured content.
• Support AI-driven document search, automation, and knowledge management initiatives.

Machine Learning & Advanced Analytics

• Collaborate with Data Scientists and AI teams to operationalize machine learning and Generative AI solutions.
• Support model deployment, monitoring, and lifecycle management using Snowflake ML.
• Develop data assets and pipelines to enable predictive analytics and AI-powered business solutions.

Cloud, Automation & Integration

• Design and support cloud-native architectures across AWS, Azure, or GCP.
• Integrate Snowflake with enterprise applications, AI services, and streaming platforms.
• Implement CI/CD pipelines, Infrastructure-as-Code, and automation frameworks to improve platform efficiency.

Security, Governance & Compliance

• Implement data governance, access controls, security policies, and regulatory compliance standards.
• Manage Snowflake security features including RBAC, data masking, and secure data sharing.
• Ensure data privacy, AI governance, and adherence to organizational standards.
• Contribute to data governance initiatives (data dictionary, lineage, stewardship)

Please Read: We are only able to consider candidates who are U.S. citizens, Green Card Holders, or TN Visa holders at this time., The ideal candidate combines strong data engineering skills with hands-on experience in Snowflake Cortex, AI-powered data services, and cloud-native architectures to deliver innovative business solutions.

This is a hands?on engineering leadership role focused on data pipelines, orchestration, modeling, and performance optimization., * Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field

• 8+ years of experience in Data Engineering, Data Platforms, or Cloud Data Architecture
• 5+ years of hands-on Snowflake experience including ELT design, and cost governance
• Strong SQL engineering skills and advanced Snowflake performance tuning
• Experience with dbt or similar transformation frameworks.
• Hands?on experience with Python for pipeline development.
• Deep understanding of healthcare data: EMR, claims, eligibility, provider, and patient datasets.
• Familiarity with data governance, lineage, cataloging, and metadata management.
• Experience working in cloud environments (AWS, Azure, or GCP).
• Experience with CI/CD pipelines and Infrastructure as Code
• Snowflake AI Skills - Cortex, Analyst, Search, Document AI, Semantic Search