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Enterprise Data Architect (Healthcare) in Chicago, IL at Solution Partners

Date Posted: 7/13/2018

Job Snapshot

Job Description

Enterprise Data Architect (Healthcare)
High-growth healthcare tech company is seeking to hire an Enterprise Data Architects. This lead resource will design relational, schemaless, and graph based data models to enhance the firm's organizational capability to make great products. The company is in a unique position to impact everyone in primary care from independent, family owned practices to world class health systems. The company's mission is to aggregate, process, and make accessible rich datasets to improve the effectiveness of primary care for our doctors and patients.
They've leveraged existing data models in existing projects sponsored by AirBnb, Amazon, and Facebook and have built their own models based on these projects. They are active participates in the open source OHDSI ecosystem. As the firm's Enterprise Data Architect, you would spend time with various product teams building new data models and democratizing data access at the company.

What are examples of work that their Data Architects have done?
: Researched and synthesized multiple data models to create a universal view of clinical information across many EMRs
: Analyzed stored procedures, stats and queries to figure out data access patterns
: Collaborated with analytics and operations to create data views that enable predictive analytics training sets

What will make you successful?
: A desire to be accountable for owning problems from design to implementation that solve healthcare interoperability
: An ability to evangelize data models to developers and analysts
: Flexibility to adapt to multiple standards based on the use case and technology
: A bias for action and pragmatic solutions
: A low ego and humility; an ability to gain trust through communication and doing what you say you will do

What you might do in your first year
: Contribute to the OHDSI ecosystem with a new data model
: Transform an existing schemaless model into a relational OLTP model
: Lead an implementation of an enterprise wide data ontology initiative
: Implement a graph based model to enhance patient matching
: Refactor a set of queries and views to increase performance and make data access logically approachable

The following experience is relevant:
: 5+ years of full-time experience
: Expert level SQL development skills
: Experience managing multi tenant data models
: Experience using schema migration technologies (Alembic, Rails Migrations, etc.)
: Strong knowledge of relational databases and data modelling (MSSQL and Postgres)
: Familiarity with alternative data storage technologies (S3, MongoDb, Redis, Neo4j)
: Experience with schemaless data modelling approaches
: Experience with the warts of clinical and financial healthcare data will help (a lot)
: BS/MS/PhD in Computer Science or a related field (ideal)