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. Remote About the Company: ACS Consultancy Services

Requirements