BI Solution Architect

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Location: Bhubaneswar (India)

Job Description:

Join SPAATech and help leading organizations transform their data driven strategies for growth. Our capabilities and client engagements through active collaboration and value driven operational model bring an unparalleled opportunity to grow and advance. Choose SPAATech, and embark on an extraordinary career.

Develop the overall data and architecture to ensure reusability, integration, and optimization of the data warehouse solution (architecture, logical/physical modeling, and tool selection). Conduct strategic assessment of client’s existing or planned enterprise data ecosystem environment to identify opportunities for improvement and innovation.

  1. Develop a data strategy and an actionable roadmap that provides core data services, advanced analytics capabilities, and access to any and all required corporate data to various constituencies across the enterprise, enabling cross-functional collaboration and business insight.
  2. Develop the Enterprise Master Data Integration Strategy including architecting, design and leading implementation
  3. Develops and maintains high performance and scalable master data management solution architecture by leading solution definition, solution architecture reviews, and solution selection efforts/li>
  4. Design and develop integration of source and subscriber systems to MDM Cloud via iPAAS solutions/Enterprise Service Bus and orchestration and choreography of MDM processes./li>

Basic Qualifications

  1. Bachelor’s degree in Computer Science or any other engineering discipline
  2. Proven track record of minimum eight years’ experience designing, and leading successful, large, complex data warehouse solutions integrated with Hadoop environments, pulling data from multiple sources
  3. Hands on experience with Big Data technologies (Spark, Python, Data Bricks, NoSQL, Kafka)
  4. Demonstrated expert level experience in Kimball dimensional data modeling methodology; ability to create conceptual, logical and physical models for operational and analytical systems
  5. Extensive experience with and knowledge of multiple Data Warehouse/Data Mart architectures including Hadoop, various MPP and SMP database systems
  6. Expertise in any of Cloud (Azure, AWS) based Data Integration and Orchestration solutions
  7. 10+ years of experience in architecting and designing large scale cross enterprise MDM implementations with a focus on ease of maintenance and ease to upgrade
  8. 5+ years of experience in developing cross enterprise Reference Data Management solutions
  9. Solid communication, presentation, and analytical skills
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