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American Heart Association

Advocates heart health; funds research

Data Architect

Data EngineeringPosted on Nov 5
Full-time$126k - $146k

About the Job

Requirements

  • A bachelor's degree or equivalent work experience is required.
  • At least eight years of Data Mapping and Extract/Transform/Load (ETL) design and development experience with clinical electronic health record data and images is required.
  • At least eight years of data modeling experience, emphasizing ODS and Star schema models, is required.
  • At least eight years of integration architecture design and implementation experience with electronic health records and images is required.
  • Experience with data virtualization tools is required.
  • Comprehensive knowledge of software development lifecycles and methodologies, such as Agile, is required.
  • Fluency in relational database concepts and flat-file processing concepts is required.

Responsibilities

  • Design integration architectures, define clinical data mappings from electronic health record data including imaging, develop data models, and consult with the infrastructure team on server and data storage services.
  • Formulate and recommend standards for maximum database and delivery performance, compliance, and efficiency for researchers in the American Heart Association Precision Medicine Platform.
  • Ensure the accuracy and integrity of service-oriented architecture through analysis, coding, documentation, and problem resolution; review issues and enhancements documented in the incident and project management system for business needs.
  • Maintain current knowledge of standards, guidelines, and industry trends for data warehouse architecture related to reporting and operations; attend and interact with user groups, research software vendors, and evaluate new data sources for quality-standard adherence and ease of integration.
  • Foster self-service analytics, data governance, and visual discovery while guiding changes and reducing reliance on manual data processes; build proof of concept and tangible results by sharing testing data.
  • Participate in planning system program retirement and systems infrastructure migration by providing current-state and future-state architectural diagrams.
  • Work with the Chief of Data Science and business groups to prioritize corporate and department objectives within the portfolio management system.
  • Provide guidance on data governance as it applies to enterprise data architecture choices.
  • Champion data quality, integrity, and reliability by designing data flow models, promoting development best practices with automation tools, and collaborating across functions to make data available timely and securely.
  • Mentor ETL team members on technical expertise, complex systems, and programming knowledge, and provide on-the-job training for new or less experienced team members.
  • Provide technical training to external team members to encourage cross-department connections, including developing and maintaining standard operating procedures.
  • Provide a methodology for ongoing database performance assessment and problem-area identification by holding regularly scheduled code reviews and monitoring software.
  • Develop business cases, impact evaluations, and return-on-investment analyses for the department to obtain senior-management buy-in.
  • Perform other duties as required or assigned within the scope and responsibility of the job level and family.

Desired Qualifications

  • Ten years of Data Mapping and ETL design and development experience is preferred.
  • Experience with electronic health records and image mapping is preferred.
  • Experience with Python, R, and SQL is preferred.
  • Experience with cloud offerings is preferred.
  • Experience with Amazon Web Services services including S3, Glue, SageMaker, Lake Formation, Lambda, Athena, Redshift, and EMR is preferred.
  • Experience with ETL technologies including AWS Glue, SSIS, DataStage, and Informatica is preferred.
  • Experience with time-series analysis, clustering, decision trees, and neural networks is preferred.
  • Experience with database and data virtualization technologies including Apache Spark, Databricks, Snowflake, Hadoop, Cloudera, SQL Server, Oracle, Alteryx, and Denodo is preferred.
  • Experience with business intelligence technologies including SSRS, Power BI, Tableau, and MicroStrategy is preferred.

About the Company

American Heart Association

Advocates heart health; funds research

The American Heart Association advances cardiovascular health by funding heart-disease and stroke research, providing education for the public and health professionals, and advocating policies that promote healthier lifestyles. Its offerings include scientific grants, medical education programs, CPR and first-aid training, public health campaigns (like Go Red for Women), and advocacy networks that mobilize communities. Its products are these programs and resources, delivered through schools, workplaces, healthcare partners, and online channels. The organization differentiates itself as the nation’s oldest and largest voluntary group dedicated to fighting heart disease and stroke, with a broad, integrated approach that combines science, policy, and care. Its goal is to reduce the incidence and impact of cardiovascular disease by empowering individuals and communities to live longer, healthier lives.

Company size
5,001-10,000
Company stage
Grant
Total funding
$700K
Headquarters
Dallas, TX
Founded
Not listed

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