Data Solution Architect

  • Keylent,
  • Columbus, OH
  • 58 minutes ago
ETL, Bigdata, Hadoop, Spark, Kafka, python, Scala
Contract W2, Contract Independent, Contract Corp-To-Corp, 12 Months
Depends on Experience

Job Description

    • Track assigned Audit/Review results related to Data Management and compile audit information for management reporting.
    • Supporting data architecture team to document and publish data flows and transformation definitions, and trusted source assessments
    • Identify and implement a data governance platform including a data catalog and dictionary
    • Partner with Data Analysts to define critical data and related standards/business rules
    • Facilitate the development and implementation of data quality standards, and adoption requirements across the enterprise
    • Design and develop security architectures for Cloud and Cloud hybrid-based systems.
    • Design and implement Cloud-native architectures that will allow business requirements to be met with a minimal degree of risk to the organization.
    • To be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them.
    • Experience with enterprise applications (architecture, development, support, and troubleshooting).
    • Ability to perform threat modeling and design reviews to assess security implications and requirements for introduction of new technologies.
    • Involve in all aspects of architecture, design, build, engineering and implementation of technical solutions using in any one of the technical platforms (JAVA, Microsoft, Azure, AWS, Big data Stack etc.,).
    • Understand the enterprise architecture roadmap and research, identify and recommend industry best practices for solving business problems.
    • Provide recommendations and technical guidance to improve performance, reliability, and reusability within the constraints of budget, resource and business dependencies.
    • To be able to help program and project managers in the design, planning and governance of implementing projects of any kind.
    • To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution.
    • To be able to work creatively and analytically in a problem-solving environment.
    • To be a self-starter.
    • To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines.
    • To be able to work in a fast-paced agile development environment.
    • Develop a mental model of the chosen solution, and document using a combination of text, diagrams and create clear, traceable solution documentation.
    • 15+ years of strong solution architecture experience in variety of IT positions. Recent 5+ years of experience must be on solution/systems/ enterprise architecture with large scale complex IT systems.
    • Continuous learning and keep track of the latest developments in business/ technical advancements.
    • High energy levels, right attitude and pleasing personality. Demonstrate the compassion to lead and bring value to the architecture portfolio.



    • Strong data governance experience, exposure for IBM – Iand IA a plus
    • Bachelor's Degree or master’s degree in Computer Science, Mathematics, Statistics.
    • Demonstrated ability to work in a fast-paced, highly technical environment.
    • Excellent communications skills, both written and verbal.
    • Ability to troubleshoot complex system issues.
    • Ability to handle multiple tasks simultaneously.
    • Ability to translate user requirements into technical specifications.
    • Ability to train and mentor junior level developers.
    • Strong database fundamentals including SQL, performance and schema design.
    • Strong understanding of programming languages like Java, Scala or Python.
    • Experience with Git.
    • 10+ years of hands-on software engineering experience.
    • 10+ years of experience integrating technical processes and business outcomes – specifically: data and process analysis, data quality metrics/monitoring, data architecture, developing policies/standards & supporting processes.
    • Experience with Spark, Hive, Hadoop, Kafka, Columnar Databases.
    • experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms.
Dice Id : 10423210A
Position Id : 7102879
Originally Posted : 9 months ago
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