CareQuest Institute for Oral Health is dedicated to improving oral health for all, focusing on research, education, and advocating for better policies. The institute works to bridge gaps in oral healthcare access and quality, aiming to transform the way oral health is viewed and delivered across communities.
January 15
CareQuest Institute for Oral Health is dedicated to improving oral health for all, focusing on research, education, and advocating for better policies. The institute works to bridge gaps in oral healthcare access and quality, aiming to transform the way oral health is viewed and delivered across communities.
• The Manager of Data Engineering will lead the design, architecture, development, deployment, and maintenance of our organization’s data platform. • In a healthcare setting, this involves ensuring that data systems are secure, scalable, and compliant with healthcare regulations, while also supporting the organization’s clinical, operational, and strategic goals. • You will manage a small team of data engineers responsible for data engineering, data architecture, data modeling and other key responsibilities that come with managing a data platform. • You will also collaborate with other resources in the organization such as data scientists, data analysts, researchers, and other stakeholders to understand business requirements and translate them into scalable and efficient data solutions. • Your expertise in Azure data services, data architecture design, data integration, and data warehousing concepts will be crucial in ensuring the successful delivery of data projects. • Key Responsibilities: Solution Design: Design and implement scalable, secure, and end-to-end data solutions on the Azure Platform, including data ingestion, data storage, data processing, and data visualization. • Solutions must be tailored for healthcare data, ensuring compliance with HIPAA and other relevant regulations. • Develop data architecture plans that support the ingestion, integration, storage, processing, and retrieval of health data across platforms and systems. • Design, develop, and implement scalable data pipelines using appropriate data integration patterns (ELT/ETL, streaming, API, etc.) to efficiently and reliably collect, process, and store large volumes of data from various data sources. • Define data architecture standards and best practices for data governance, quality, and security within the healthcare context. • Implementation: Lead the implementation of cloud-based solutions ensuring they meet the specified requirements and best practices. • Oversee the deployment of cloud infrastructure and services. • Implement DevOps best practices (IaC, Git, CICD, etc.) to automate the development lifecycle and streamline cloud operations. • Technical Leadership: Provide technical leadership, guidance, and mentorship to development teams in best practices for data management and architecture. • Act as a subject matter expert in cloud technologies and best practices. • Develop leading practices and perspectives for Data Engineering, Data Science, Data Governance and Data Management. • Collaboration: Work closely with business stakeholders, developers, analysts, IT teams, and other key stakeholders to understand business/data requirements and deliver solutions. • Collaborate with software developers to integrate data solutions into applications. • Optimization: Continuously evaluate and optimize new and existing cloud solutions to improve performance, scalability, and cost-efficiency. • Implement monitoring and logging solutions to ensure system reliability and performance. • Security & Compliance: Ensure that cloud solutions comply with security standards and regulatory requirements. • Implement and manage security controls and best practices. • Ensure data security and compliance with relevant regulations. • Innovation: Stay up to date with the latest cloud technologies and trends. • Evaluate new tools and technologies to improve existing solutions or create new ones. • Develop custom software/data tools as necessary to augment core data systems. • Maintenance & Support: Monitor and troubleshoot data pipelines and systems. • Provide ongoing support and maintenance for existing data infrastructure. • Develop business continuity and disaster recovery plans to ensure system uptime. • Documentation: Document data processes, architectures, and configurations. • Maintain clear and comprehensive documentation for data workflows and systems.
• Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field. • Extensive experience with cloud platforms such as Microsoft Azure. • Strong understanding of cloud architecture patterns and best practices. • Proficiency in cloud services (compute, storage, networking, databases, etc.). • Proficiency in Azure data services such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, etc. • Strong understanding of Infrastructure as Code (IaC) tools such as Terraform, Azure Resource Manager. • Strong programming skills in Python or similar scripting language. • Strong programming skills in SQL and experience with relational and NoSQL databases. • Knowledge of data warehousing solutions such as Azure Databricks or Snowflake. • Experience with Business Intelligence and data visualization tools. • Experience with UI development and front-end languages. • Knowledge of security best practices and tools for cloud environments. • Working knowledge of data governance, data security, and data privacy best practices. • Experience with data visualization tools such as Tableau, Power BI, etc. • Strong problem-solving and analytic skills with the ability to troubleshoot and resolve data related issues. • 8-10 years of experience in cloud architecture, data engineering, and/or a related field. • Experience developing data architectures and solutions that contain healthcare data. • Experience managing data engineering teams with various skills sets including data engineering, data architecture and data modeling. • Hands on experience with data modeling, data architecture, and data pipeline design. • Proven track record of designing and implementing cloud solutions.
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