Syncsort Incorporated

  • Senior Solution Consultant

    Job Locations US-Remote US
    Job ID
    Professional Services
    Regular Full-Time
  • Overview

    The Solution Consultant is an experienced and resourceful professional that provides deep, technical guidance, implementation assistance and training to data integration, data quality and data assurance customers in Hadoop and non-Hadoop platforms, helping ingest, profile, integrate, replicate and cleanse data from various sources and formats, including file, relational, mainframe, iSeries and messaging systems. The Solution Consultant interfaces with customers, partners and Syncsort staff frequently and must be able to present a professional image and conduct business with a high level of maturity and integrity.



    • Provide data ingest, replication, ETL, and data quality consulting and training services to Syncsort’s customers, prospects and partners
    • Assess, scope and assist with the selling services solutions
    • Design and assist with implementations in data ingestion, data replication, data integration, and data quality projects implementing the products in a variety of different architectures
    • Analyze varied data integration architectures for performance bottlenecks and making recommendations to alleviate those bottlenecks.
    • Providing deep, technical guidance, opportunity analysis, research and proof of concept implementation support to field sales engineers
    • Create customized project documentation and communicate project status
    • Manage scope creep and customer expectations



    • Contribute to the development of best practices and consulting methodologies
    • Identify solution enhancements and participate in new version release rollouts
    • Provide SME expertise to improve training curriculum and content as well as assist in refreshing training materials for company’s products.


    • Develop and present customer architectures and use cases to other departmental teams for knowledge transfer as well as articulate customer needs to development and product management teams
    • Timely expense submission based on company policy guidelines


    • Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)
    • Broad and deep experience (2-5 years) with data integration and data quality technologies, like Informatica, DataStage and Ab Initio
    • Thorough understanding of data warehousing, data integration, data processing, and business intelligence concepts and environments
    • Experience with large, complex migration and data integration or data quality projects
    • Experience with operation systems such as Windows Server UNIX, LINUX, iOS, OS/390 and Big Data platforms
    • Deep knowledge of Hadoop platform operation and processing techniques and experience (2-5 years) working in Hadoop environments
    • Experience with multiple database technologies. Examples include:
      • Oracle
      • SQL Server
      • Hive
      • Impala
      • DB2
      • Teradata
      • Netezza
      • Vertica
    • Experience with programming or analysis in multiple of the following technologies:
      • Shell scripting
      • SQL
      • C
      • C++
      • JAVA
      • Web Services
      • Cobol
    • Experience with mainframe systems and coding is a plus


    Specialized Knowledge and Skills

    • Strong organizational, analytical and problems solving skills
    • Excellent relationship building and customer service skills as well as verbal and written communications skills
    • Resourcefulness and self-driven initiative to learn new technologies
    • Ability to coach and mentor others
    • Prior experience in customer facing roles, preferably professional services or technical sales engineering
    • Ability to prioritize and complete multiple projects and tasks in a fast paced environment
    • An openness in traveling 65% of the time, with peaks up to 80%, mostly in North America and occasionally internationally


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