Provide architectural leadership for technology solutions, data architectures, data warehouse, cloud and infrastructure initiatives
Design and develop high volume data ingestion components and ETL solutions to collect data from various internal and external sources to support all clinical operations and research strategic priorities
Recommend data governance processes, security standards, and models that will provide architectural guidelines to support the development initiatives
Participate in strategic and tactical planning and design sessions and conduct “whiteboard” sessions with data delivery, services, data engineering, architects, operations and development team
Ensures data quality and controls are in place to support various data ingestion inflows and outflows processes
Manage and use tools in the cloud data warehouse development and deployment such as ETL tools, data quality and cleansing tools, query/reporting tools, monitoring, , transformation, etc.
Administer the overall data warehouse and cloud infrastructure strategy, architectures and security, definition of data models, all data marts, evaluation of infrastructure components, software, performance and data applications design
Drive decision-making processes to align with business priorities and objectives related to key architecture solutions
Research emerging technology trends, new models, vendor solutions and market opportunities to identify potential industry disruptors that could help COH achieve it’s strategic vision; including the need for developing data ingestion and computational modelling of new and emerging data types such as patient generated data, images, genomics, documents, and unstructured text.
Other duties as assigned
Requirements
Bachelor’s Degree
7 years of data architecture/engineering experience, 5 years in a leadership role
Significant experience with Cloud Data Warehouse technologies and complex data architecture and models
Working knowledge of designing architectures for large volume real time data streams and component services
Knowledge of and experience with data technologies (Snowflake, Azure, AWS, DBT, Fivetran, etc.)
Experience with scaling and improving a variety of vendor and open-source technologies
Experienced in agile data and development engineering methods
Good communications and listening skills are critical components of this job.
A proven track record for the successful delivery of cloud data warehouse solutions and related components
Benefits
Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata engineeringETL solutionsdata governancedata qualitycloud data warehousereal time data streamsdata modelingagile methodscomputational modeling