Director, Data Engineering and Architecture

Healthcare Risk Advisors
Published
November 2, 2020
Location
New York, NY
Category
Job Type

Description

The Director, Data Engineering and Architecture will partner with the VP Data Strategy and the IT organization to enable deployment of Data Science assets (data, model, business rules) into business workflows. The Director, Data Engineering and Architecture is responsible for creating playbooks and modular code to enable adoption of best practices within the Data Science organization. This role is responsible for contributing to the development of the data architecture, assisting in the selection of tools and mastering the use of selected tools to advance the objectives of the company. This role will be responsible for deploying the architecture on the Microsoft Azure cloud platform. The Director DE&A consults on use cases to provide a high level view of cost, time and effort associated with project objectives and delivery goals. This role is responsible for guiding the Data Science practice to allow for faster, cheaper, consistent, and reliable deployments while enabling transparency and reproducibility of modeling assets.

In this dual responsibility role, DDE&A will also serve as the Machine Learning Engineer responsible for hands-on deployments of data science artifacts into business workflows and will work closely with the Data Scientists to understand the inputs and outputs of the models. The engineer will also establish the testing criteria for validating the model deployments in collaboration with the Data Scientist and VP Data Strategy.  The engineer must have an understanding of model deployment pipelines incorporating data from internal systems and third party sources. Expertise in Linux, SQL, Hadoop, and Spark is essential for this role. The engineer should be able to write Python code using object oriented software engineering principles and delivering modularized, reusable code.

Further, this role will have a responsibility for adopting, and contributing to, the data governance model established by the parent company (TDC).  In this role he or she will collaborate with colleagues throughout the organization to adopt and adhere to the standards developed by the organization.

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