• Enterpise Data Architect

    Job Locations USA-NY-New York
    Posted Date 4 weeks ago(9/24/2019 11:39 AM)
    Requisition ID
    2019-36514
  • Company Overview

    At Memorial Sloan Kettering (MSK), we’re not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we’re driving excellence and improving outcomes.
     
    For the 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2018. We’re treating cancer, one patient at a time. Join us and make a difference every day.

    Job Description

    Do you want to join a dedicated team on a mission to transform how MSK is managing its data? As part of MSK Digital transformation program MSK is looking build a data platform that will support rapid data discovery, delivery and enable innovative analytics.

     

    Are you well-rounded enterprise data architect who loves new challenges and ready to embrace the complexities of the health care data and play a meaningful role on an innovative team? Then join us here at MSK, where we can provide you with the opportunity to do all those things! This is an exciting role for someone who has the right skills to be part of a dynamic team and learn how to apply their skills to support our mission: the forward-thinking control and cure of cancer.

     

    You will:

    • Be responsible for crafting, building and maintaining next generation data platforms.
    • Continue to analyze the current state of the existing data architecture of various systems – software components, technologies, data models and business processes.
    • Build future state of data architecture that will align and support greater interpersonal goals and priorities.
    • Generate data management artifacts: data models, diagrams, architecture topologies, roadmaps and plans for implementation and rollout of new technologies into existing architecture.
    • Develop robust, scalable, resilient and secure data architecture solutions that improve institutional data assets.
    • Closely collaborate with various IT teams, business stakeholders and data analysts in devising data strategies and solutions across the enterprise.
    • Develops deep understanding of enterprise data flows, data sources and data consumers.
    • Propose and enforce data management best practices, data standards, data management policies, and rules across different disciplines of the company.
    • Work closely with the data governance team to ensure that a proposed data architecture solution fully supports data governance related requirements and are coordinated with the DG platform(s).
    • Identify, design, and implement internal process improvements optimizing data delivery, re-designing infrastructure for greater scalability, etc
    • Works on unique architectures where there might be no previous precedent

    You have:

    • 5-10 years of relevant experience
    • End-to-end data management experience, understands the complexities of a large company enterprise data architecture and data governance frameworks.
    • Solid experience with enterprise data management solutions and EDW architecture/deployments.
    • Good experience with data model design (conceptual, logical, physical), strong knowledge of relational databases, SQL and columnar databases.
    • Experience in big data solutions such as Hadoop, Splunk, Spark, NoSQL and other non-traditional big data software.
    • Experience in data lake architectures and solutions.
    • Understands cloud vs. on-prem architectures and advantages vs. disadvantages.
    • Strong in gaining knowledge in new technologies and conduct proof of concepts of well-established and innovative enterprise software tools.
    • Working knowledge of IoT architectures, message queuing, stream processing and other high voluminous data flows on highly scalable big data stores.
    • Experience with development and implementation of data services architectures.
    • Data security solutions across entire data pipeline.
    • Ability to analyze complex data flows and propose optimization strategies.
    • Ability to communicate data architecture concepts to technical and non-technical staff.
    • Excellent interpersonal skills, accountability, written and verbal communication skills, time management and is efficient at prioritizing deadlines and goals.
    • Ability to work closely with C-level personnel.
    • Maintain healthy vendor relationships and may help drive vendor software directions.
    • Budgetary responsibilities.

    Nice to have

    • Experience with ontology frameworks and standard healthcare integration protocols, HL7, FHIR is a plus.
    • Experience with graph databases

     #LI-POST

    Closing

    MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.  

     

    Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

     

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