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Enterprise Sr. Data Architect

ActiveSoft, Inc

Enterprise Sr. Data Architect

Washington, DC
Full Time
Paid
  • Responsibilities

    Job Description

    ENTERPRISE SR. DATA ARCHITECT Washington, DC Full time

    QUALIFICATION REQUIREMENTS:

    • Required: This position requires Graduate Degree in Computer Science / Engineering / related IT Field with a minimum of 5 years of experience 
    • OR a Bachelor’s degree in Computer Science / Engineering / related IT field with a minimum of 7 years of experience OR equivalent experience. 
    • Proven ability to distinguish data and architectural requirements at system level, project level, department level and enterprise level; must be able to perform requirements definition, analysis, data pattern analysis and design in support of enterprise data integration efforts. 
    • Demonstrated competency in strategic thinking and leadership with strong abilities in relationship management in multi-discipline environments. 
    • Demonstrated knowledge of data architecture concepts and industry trends. 
    • Experience leading the design, development and delivery of an enterprise-wide data architecture and blueprint.
     
    

    ABILITIES/SKILLS:  

    • Position requires very strong written and oral communications skills, including some presentation skills. Works well under general supervision, with regular review of work needed. 
    • Candidate must be able to work with a broad range of users, business management, and IT management and project leaders. 
    • Candidate must possess professional and negotiating skills as well as the ability to function successfully in a team and results oriented environment.
    • Experience in Relational, Dimensional Data Modeling with good emphasis on Serving data for Analytics, Reporting, Ad-Hoc Querying spanning across different types of data structures.
    • Analyze, evaluate, design databases and identify new solutions to increase performance, efficiency and data life cycle management.
    • Develop, document and implement database solution process flows and coordinate with data engineers and analysts.
    • Experience with ELT Data Transformation, data modeling and visualization tools. 
    • Good understanding of Data Pipelines, Data Ingestion from a variety of sources (Relational Database, Parquet, Kafka etc.)
    • Experience with Multi-Tenant Database Architecture.
    • Hands-on Experience with Hadoop, Map/Reduce, Parquet, Impala, Hive, Spark (Retrieve/Transform data from a variety of sources, be it Parquet, Impala/Kudu etc.)

    ADDITIONAL EXPERIENCE (PREFERRED, BUT NOT NECESSARY)

    • Experience in curating/provisioning data for Machine Learning.
    • Experience with Datawarehouse Platforms like Redshift, Snowflake etc.,
    • Experience with ElasticSearc

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