• Design and build Databricks pipelines for provider, patient, and enterprise data. • Support migration of existing Health Catalyst workloads. • Bridge Snowflake and Databricks environments. • Work closely with clinical, operational, and analytics stakeholders. • Ensure data quality, lineage, and performance. • Participate in backlog prioritization and execution.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves serving as a senior technical leader responsible for shaping and managing the modern data ecosystem, directly impacting healthcare by delivering high-quality data products. - Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks and Microsoft Fabric. - Define modeling patterns and governance frameworks across the data lifecycle. - Lead design reviews and guide teams in adopting scalable architectures. - Drive long-term platform strategy and evaluate emerging technologies. - Design and implement batch and streaming data pipelines for healthcare data sources. - Develop frameworks for ingestion, quality, lineage, metadata, and observability. - Produce clean, analytics-ready datasets for BI and machine learning. - Implement HIPAA-aligned access patterns and secure handling of PHI. - Architect Databricks workloads for reliability and efficiency. - Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - 7+ years of experience in data engineering. - 2+ years operating in a senior or staff level engineering role. - Proficiency with Databricks, Spark, Delta Lake, dbt, and Python. - Experience designing large-scale cloud data platforms (Azure preferred). - Familiarity with Data Engineering, Data Factory, and Lakehouse. - Advanced expertise in data platform architecture. - Ability to create modular, extensible frameworks for enterprise solutions. - Strong command of distributed data processing techniques. - Experience in HIPAA regulated environments and handling PHI. - Fluency in healthcare data compliance standards. - Technical leadership and mentorship capabilities. - Excellent communication skills with technical and clinical stakeholders. Benefits - 100% remote work (ET or CT work hours preferred). - Collaborative and inclusive work environment. - Opportunities for professional growth and development. - Mission-driven culture focused on improving healthcare. - Diversity, equity, and inclusion in recruitment practices. - Access to cutting-edge technology and resources.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves serving as a senior technical leader responsible for shaping and managing the modern data ecosystem. Your contributions will directly impact our mission to enhance healthcare by delivering high-quality data products that support clinical and operational outcomes. - Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks and Microsoft Fabric. - Define modeling patterns and governance frameworks across the data lifecycle. - Lead design reviews and guide teams in adopting scalable architectures. - Drive long-term platform strategy and evaluate emerging technologies. - Design and implement batch and streaming data pipelines for healthcare data sources. - Develop frameworks for ingestion, quality, lineage, metadata, and observability. - Produce clean, analytics-ready datasets for BI and machine learning. - Implement HIPAA-aligned access patterns and secure handling of PHI. - Architect Databricks workloads for reliability and efficiency. - Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - 7+ years of experience in data engineering. - 2+ years operating in a senior or staff level engineering role. - Proficiency with Databricks, Spark, Delta Lake, dbt, and Python. - Experience designing large-scale cloud data platforms (Azure preferred). - Familiarity with Data Engineering, Data Factory, and Lakehouse. - Advanced expertise in data platform architecture. - Ability to create modular, extensible frameworks for enterprise solutions. - Strong command of distributed data processing techniques. - Experience in HIPAA regulated environments and handling PHI. - Fluency in healthcare data compliance standards. - Technical leadership and mentorship capabilities. - Excellent communication skills with technical and clinical stakeholders. Benefits - 100% remote work (ET or CT work hours preferred). - Collaborative and inclusive work environment. - Opportunities for professional growth and development. - Mission-driven culture focused on improving healthcare. - Diversity, equity, and inclusion in recruitment practices. - Access to cutting-edge technology and resources. Company Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Migration Expert, you will be responsible for planning, executing, validating, and troubleshooting complex data migrations into Shopify. You will work closely with developers, solution architects, project managers, and client technical teams to ensure seamless migrations with minimal business disruption. - Handle migrations of products, collections, customers, orders, gift cards, discounts, redirects, pages, and other critical commerce data, often from legacy or highly customized systems. Qualifications - Expert-level knowledge of Shopify, including: - Shopify Admin & data structures - Shopify Plus features - Metafields, APIs, and limitations - Proven experience handling complex ecommerce data migrations - Strong problem-solving skills for non-standard and edge-case scenarios - Excellent understanding of ecommerce data relationships (products, variants, inventory, orders, customers) - High attention to detail and data accuracy - Comfortable working with large datasets - Ability to explain technical concepts clearly to non-technical stakeholders Requirements - Lead and execute end-to-end data migrations into Shopify Plus - Design migration strategies for complex enterprise data models - Migrate and validate: - Products (including variants, metafields, media, pricing rules) - Collections (manual & automated) - Customers & customer data - Orders (historical and live cutovers) - Gift cards, discounts, and promotions - Pages, blogs, redirects, navigation, and related content - Work with Matrixify and other migration tools - Build, clean, transform, and validate large datasets (CSV, Excel, JSON, API-based exports) - Identify data gaps, inconsistencies, and risks early and propose solutions - Collaborate with: - Front-end developers (themes, custom storefronts) - Back-end developers (custom apps, APIs) - Middleware providers - ERP and PIM systems (e.g., NetSuite, SAP, Akeneo, etc.) - Support POS data considerations (customers, products, inventory, historical data) - Perform rigorous QA, reconciliation, and post-migration validation - Support cutover planning, dry runs, and go-live execution - Document migration processes, mappings, and edge cases - Provide technical guidance to internal teams and clients during migration phases Benefits - Hands-on experience with Matrixify - Experience migrating from: - Legacy ecommerce platforms - Headless or custom commerce solutions - Enterprise platforms (Magento, Salesforce Commerce Cloud, custom builds) - Experience working with: - ERP systems (NetSuite, SAP, Dynamics, etc.) - PIM systems - Middleware / iPaaS solutions - Knowledge of Shopify POS and retail data considerations - Basic scripting or technical skills (e.g., APIs, JSON, data transformation logic) - Familiarity with Shopify APIs, webhooks, or custom apps