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Job description

Big Data Architect at Systems Limited plots a new holistic data architecture to transform the enterprise data environments into a highly valued business asset supporting the dynamic data science and analytics needs of the future, using appropriate data platforms and technologies.

Responsibilities:

  • Partner with business leadership to identify problems, and opportunities for technology innovation.
  • Partner with peer architects, design and engineering Information Management teams
  • Help establish a clear, consistent technology vision through collaboration, influence, and enablement.
  • Research, recommend, design and develop our NoSQL architecture.
  • Implement business and IT vision through generation of new architecture strategy to span all data platforms.
  • Devise as-is, to-be and interim big data platform architecture to support client’s data needs and platform/data integration transformation.
  • Ensures system, technical and product architectures are aligned with business objectives.
  • Anticipates and handles technology evolution and relates it to business solutions.
  • Sets direction based on alignment to business and overall technology standards.
  • Stay informed on initiatives across the industry and the enterprise to help product owners and IT leadership effectively prioritize.
  • Tailor communication and convey complex ideas in a concise manner to a diverse set of audiences and venues.
  • Craft guidance that helps delivery teams identify quality risk factors around security and compliance.
  • Provide tools that enable development teams to rapidly build databases that enable them to deploy software that is consistent with the broader architectural vision.
  • Identify and assess the organizational impact of enterprise architecture and standards, including change in skills, processes and structures.
  • Accelerate delivery by forming a network of positive relationships with vendors, and other influencers within the enterprise and beyond.
  • Promote the company's technology brand through creative thinking, and constantly raising the bar of what's possible.
  • Mentor associate engineers, architects and senior leadership alike. Inspire and lead senior technical individual contributors.

Requirements:

  • BSCS or equivalent; Masters in Data Sciences is preferred.
  • Experience in requirements engineering, solution architecture, design, development and deployment.
  • 8+ years of technical solutions experience including 5+ years of in a combination of relevant Big Data/Analytics areas including:
    • Experience building applications on one of the leading cloud providers – Azure, AWS or GCP.
    • Build real-time data pipelines using Kafka, Spark, Storm, Flume, and similar stacks on leading cloud platforms.
    • Extensive experience using Java, Python, Ruby, R, Scala, Pig & Hive.
    • Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, Sqoop and Cassandra.
    • Experience in client-driven large-scale implementation projects.
    • Practical expertise in performance tuning and optimization, bottleneck problems analysis & troubleshooting skills.
    • Experience in creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution(s).
    • Good experience in working with ETL/Ingestion tools such as SSIS, Informatica Talend, Pentaho and NiFi.
    • Working knowledge on NoSQL platforms.
    • Must be able to clearly articulate pros and cons of various technologies and platforms.
    • Review and audit of existing solution, design and system architecture.
    • Perform profiling, troubleshooting of existing solutions.
    • Understanding and experience with data security and privacy concerns.
  • Excellent analytical, communication and problem-solving skills.

Submit your resume here or email your resume at talent@systemsltd.com with the subject “Big Data Architect”

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