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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Platform Engineer - **Company:** HireWell - **Location:** Lutz, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, ARM Architecture, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Information Systems, Data as a Services, Data Dictionary, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Masking, Data Security, Digital Assets, Digital Technology, Human Resources Information System (HRIS), Information Extraction, Information Retrieval, Python (Programming Language), Knowledge Management, Machine Learning, Meta-Data Management, Metadata Standards, Performance Tuning, Role-Based Access Control, Cloud Services, Search Technologies, Data Streaming, Unstructured Data, Enterprise Data Management, Enterprise Software Applications, Cloud Platform System, Snowflake, Generative AI, Data Layers, Data Lakes, AI Platforms, Information Technology, Apache Kafka, Data Management, Intelligent Document Processing, Data Pipelines - **Published:** October 2, 2026 - **Apply:** https://www.disabledperson.com/jobs/75670024-sr-data-platform-engineer ## About the Role 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 ## Description 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) ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)