Remote Business Intelligence Architect Job in Florida, United States Availity

Who you are

• 10 or more years of experience in information architecture and data solution design
• Strong domain expertise in healthcare business, administrative and clinical data
• Working knowledge of cloud-based data technologies and relational databases, including Oracle, MySQL and specifically AWS products Redshift, S3, EMR, Glue, QuickSight, and Aurora
• 5 or more years of experience developing data products with enterprise business intelligence tools (Tableau, QuickSight, PowerBI, Cognos)
• 5 or more years of experience with data engineering technologies, including but not limited to Spark, Scala, SQL
• Analytical skills with hands-on experience in identifying, quantifying, and effectively raising risks associated with data quality, compliance, retention, and security
• Strong communication and collaboration skills with capability to execute with business and technology stakeholders
• Bachelor’s degree in Computer Science, Information Systems, or Information Management. Master’s degree preferred but not required

Desirables

• Experience in data management principles such as data governance, data security, data quality
• Hands-on experience with data modeling for data lakes and data warehouses

What the job involves

• Lead the collaboration with Product Owners and development teams to understand business and analytic requirements, translate them into meaningful data pipeline design requirements and analytic products
• Architect and deliver data solutions to support complex business intelligence and machine learning solutions
• Design data models – document and collaborate to create conceptual and logical models
• Architect and guide ETL engineers to optimize and maintain data models, and enable end-to-end data-driven integration
• Maintain BI systems, design, develop, and implement various enterprise dashboard and reporting solutions
• Direct and contribute to data pipeline development effort
• Partner with Enterprise Architecture team to develop and implement future state data architecture standards, guidelines, and principles for the enterprise
• Assist in implementation and maintenance of enterprise data stewardship, governance, and cataloging of company data and meta data
• Collaborate with the data science and development teams to enable technologies and processes to maintain and improve data quality standards

Application process

• Recruiter resume review
• Manager resume review
• Recruiter video interview
• Manager video interview
• Panel video interview
• VP of Engineering video interview