• The Senior Platform Data Engineer owns roadmap, priorities, platform standards, and architecture reviews; provides formal input on performance reviews. • This position makes clinical data ready for AI at scale: owning the shared data products, retrieval infrastructure, and platform administration that the entire AI portfolio depends on. • Owns Real-time data feeds. Reusable clinical data models and feature pipelines. RAG retrieval infrastructure (ingestion, chunking, embeddings, vector DB, retrieval pipelines). • Streams data from Epic SDE, ADT feeds, lab results, and other clinical sources into Databricks for downstream model consumption. • Curates shared clinical feature tables (patient demographics, labs, vitals, diagnoses, utilization history, imaging metadata) in Databricks/Unity Catalog that multiple AI programs consume for model training, validation, and monitoring. • Designs and operates document ingestion pipelines: normalizing clinical documents, policies, guidelines, and unstructured data sources into formats ready for embedding and retrieval. • Implements and optimizes chunking strategies tailored to healthcare content (e.g., preserving clinical note structure, section-aware chunking for guidelines and protocols). • Establishes data quality gates for RAG: automated profiling, completeness checks, and accuracy scoring before content enters the vector store.

MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment. Why does MWDN rock? Here’s what you can expect when you join MWDN: - Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments—no fraud or unpleasant surprises. - Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals. - Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes. - Professional development: We offer English courses and professional growth opportunities, as well as team-building events. Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU. What is your new project? - Domain: AI Consulting - Client Location: US - Company size: up to 10 people - Founded in: 2020 What makes this project exciting? Join a forward-thinking consulting environment that helps companies scale through modern cloud, data, and AI-driven solutions. The team partners with organizations across industries to design and implement robust, multi-cloud architectures, combining deep infrastructure expertise with advanced data platforms. Built for complex, real-world challenges, the approach focuses on turning fragmented systems into scalable, high-performing ecosystems. From enabling seamless cross-cloud operations to supporting data pipelines and analytics, you’ll help drive solutions that power smarter decision-making and long-term growth. What makes you a great fit - 4+ years in cloud infrastructure, platform engineering, or DevOps with strong data platform exposure - Genuine hands-on experience across at least two of AWS, Azure, GCP - including cloud-native data services on each - Proficiency with IaC tooling - Terraform strongly preferred - CI/CD pipeline experience (GitHub Actions, GitLab CI, Azure DevOps, or equivalent) - Experience with Docker and Kubernetes or managed container services - Understanding of cross-cloud data movement and integration patterns - Cloud security fundamentals - IAM, RBAC, VPC design, encryption, secrets management - Python and/or Bash scripting proficiency - Agile delivery experience (Scrum and/or Kanban) - Upper-intermediate level of English Preferred - True multi-cloud project delivery experience - not just secondary provider familiarity, but actual delivery on two or more clouds - FinOps experience - cross-cloud cost governance and optimization - Experience with data-specific infrastructure (Databricks cluster management, Snowflake networking, Kafka operations) - Familiarity with data observability and monitoring tooling - Exposure to regulated industry compliance requirements across different cloud environments  Your day-to-day in this position - Provision, configure, and manage cloud data infrastructure across AWS, Azure, and GCP using infrastructure-as-code - Design and implement cross-cloud data movement patterns - understanding trade-offs of egress, latency, and tooling across providers - Build and maintain CI/CD pipelines for data platform deployments across multiple cloud environments - Manage containerized data workloads (Docker, Kubernetes, or managed cloud equivalents) - Implement cloud security controls - IAM, RBAC, network design, secrets management, data residency configurations - Monitor cloud infrastructure health, pipeline reliability, and costs across providers - proactively identifying issues and optimizations - Assist with data pipeline deployments and environment troubleshooting across the team's workstreams - Flex into adjacent data engineering tasks during periods of lower infrastructure demand - Use AI coding tools to accelerate IaC development, cross-cloud automation scripts, and diagnostics Why work with us? - People-first management with minimal bureaucracy - A friendly company culture, proven by employees who choose to return - Flexible working hours - 29 days of PTO (18 working days per year pluse all national holidays) - 10 paid sick days - Full financial and legal support for independent contractors - Free English classes, with native speakers or Ukrainian teachers - Dedicated HR support Our next steps ✅ Intro call with a Recruiter — ✅ Intro call with the client — ✅ Technical client interview — ✅ Offer Requirements null

• Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products • Partner with ML engineers and data scientists to build and maintain AI-specific data infrastructure • Consolidate fragmented data sources across the organization into reliable, automated pipelines • Design scalable data models and marts that serve both analytics and ML feature engineering • Support rapid iteration on new data products and features in a fast-moving environment • Collaborate cross-functionally with analytics, data science, and product teams to translate requirements into data solutions • Proactively monitor and resolve data quality issues, optimizing for cost and performance • Employ AI technologies to enhance and optimize business processes • Utilize and leverage Power Digital's Nova ecosystem as it relates to your department • Use AI coding tools as part of your daily development workflow to accelerate pipeline development and data quality work

• Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products • Partner with ML engineers and data scientists to build and maintain AI-specific data infrastructure • Consolidate fragmented data sources across the organization into reliable, automated pipelines • Design scalable data models and marts that serve both analytics and ML feature engineering • Support rapid iteration on new data products and features in a fast-moving environment • Collaborate cross-functionally with analytics, data science, and product teams to translate requirements into data solutions • Proactively monitor and resolve data quality issues, optimizing for cost and performance • Employ AI technologies to enhance and optimize business processes • Utilize and leverage Power Digital's Nova ecosystem as it relates to your department • Use AI coding tools as part of your daily development workflow to accelerate pipeline development and data quality work