Job description

Job Title: Enterprise Data Architect – Healthcare & Cloud Analytics Location: Austin, Texas(Remote) We are currently seeking candidates who meet the following qualification Required Qualifications: • Experience in data architecture, data modeling, and data warehousing • Experience with business intelligence and big data solutions • Experience with healthcare data standards like FHIR, CCDA, and HL-7 • Proven experience in leading and managing advanced analytics projects • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform • Experience in developing, deploying, and managing applications and data storage on these platforms • Strong knowledge of data architecture principles and best practices • Proficiency in SQL and other database technologies • Knowledge of advanced analytics tools and strategies • Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience • Ability to lead teams and manage complex projects • Proficiency in cloud infrastructure management, including cloud-based data storage options, cloud security considerations, and deployment best practices • Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting • Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare • Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability • Experience with ETL tools, data integration platforms, and APIs • Experience with EHR integration, APIs, and real-time streaming • Experience in architecting and designing ETL pipelines using Informatica tools • Design and model data for cloud-based data architecture solutions using Snowflake as the primary data platform Preferred Qualifications: • Experience in implementing and deploying big data applications • Hands-on expertise in Python and/or Java/Scala • Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps • Healthcare industry experience • Fundamental understanding of Information Management principles, IT processes, SDLC, architecture, and technologies • Strong consulting and facilitation skills • Customer-focused with ability to communicate across all levels of the organization • Proactive leadership style with strong attention to detail • Certifications in TOGAF, Azure, AWS, and/or Google Cloud Platform architecture Responsibilities: • Lead the architecture and design of scalable, secure, and efficient data platforms across cloud and hybrid environments • Develop and maintain enterprise-level data models, warehouses, lakes, and other storage platforms for analytical and reporting purposes • Design and implement ETL pipelines, real-time data streaming, and integration with EHR and healthcare data systems • Guide adoption of emerging technologies like AI and machine learning into existing data solutions • Collaborate with cross-functional teams including developers, data engineers, analysts, and healthcare SMEs • Ensure compliance with healthcare standards (FHIR, CCDA, HL-7) and data governance frameworks • Optimize data storage, retrieval, and reporting through Snowflake and other modern data solutions • Mentor and lead technical teams in advanced analytics and data architecture best practices • Drive innovation and efficiency in cloud-based data solutions • Present architecture strategies and technical concepts to leadership and non-technical stakeholders If you meet these qualifications, please submit your application via link provided in Linkedin. Kindly do not call the general line to submit your application.

Requirements