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    Data Architect - Chicago, United States - NextRow

    NextRow
    NextRow Chicago, United States

    1 week ago

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    Description

    Job Description
    NextRow is You must be a problem solver who looks to elevate the work of everyone around them.


    • Provides expert guidance to projects to ensure that their processes and deliverables align with the Client target state architecture.
    • Defines & develops enterprise data architecture concepts and standards leveraging leading architecture practices and advanced data technologies.
    • Requirements gathering with business stakeholders, domain: agile team work, people data, and hierarchies of project portfolio work
    • Ability to write requirements for ETL and BI developers
    • Ability to write designs for data architecture of data warehouse or data lake solutions or end to end pipelines
    • Expert in data architecture principles, distributed computing knowhow
    • Intake prioritization, cost/benefit analysis, decision making of what to pursue across a wide base of users/stakeholders and across products, databases and services,
    • Design or approve data models that provide a full view of what the Client technology teams are working on and the business impact they are having.
    • End to end data pipeline design, security review, architecture and deployment overview
    • Automate reporting views used by management and executives to decide where to invest the organization's time and resources, and stay up to date on key company initiatives and products
    • Create selfservice reporting including a data lake for Client's internal projects and resources
    • Design for comprehensive data quality management tooling.

    QUALIFICATIONS:

    • 6+ years of experience within the field of data engineering or related technical work including business intelligence, analytics
    • 4+ years of experience in architecture for commercial scale data pipelines
    • Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fastpaced environment, inspire change, and collaborate with a variety of individuals and organizational partners
    • Experience designing and building scalable and robust data pipelines to enable datadriven decisions for the business
    • Exposure to Amazon AWS or another cloud provider
    • Experience with Business Intelligence tools such as Tableau, ThoughtSpot, PowerBI and/or Looker
    • Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
    • Passionate about programming and learning new technologies; focused on helping yourself and the team improve skills
    • Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
    • Rigorous attention to detail and accuracy
    • Aware of and motivated by driving business value
    • Experience with large scale enterprise applications using big data opensource solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase
    • Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata)
    • Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, a related quantitative field
    • Advance CS degree is a plus knowledge and experience
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