Senior Data Solutions Engineer

Posted on Oct 17, 2020 by Request Technology - Craig Johnson

Chicago, IL 60601
Immediate Start
$120k - $145k Annual

*Position is bonus eligible*

Prestigious Fortune 500 Company is currently seeking a Senior Data Solutions Engineer. Candidate will develop new solutions for analysing/processing/enriching unstructured content; integrate advanced analytics solutions to optimize business decisions and processes by analysing various forms of unstructured data sets like images, voice and video; and address new technical challenges using existing and emerging technology solutions. We can consider strong Solutions Engineers with or without unstructured data background.


  • Design and implement a centralized Unstructured data management ecosystem to collect, analyze, store, protect and govern Unstructured data for the enterprise.
  • Build a scalable platform for the evolving needs to support Company's Unstructured Data Strategy.
  • Identify and utilize new and emerging technologies to define comprehensive, sustainable, extensible architecture to meet defined business needs, including cloud or on-premises solutions
  • Design and establish governance and data management frameworks for Unstructured data.
  • Provide recommendations on implementation of organization wide processes and procedures for the management of data risk especially if the solution is based on a public cloud services.
  • Coordinate with Network and Infrastructure teams to design systems that can scale to the operational needs of handling large volumes of Unstructured data
  • Define strategies to Investigate, evaluate, interpret and classify Unstructured data in order to define and clarify information structures which describe the relationships between the Unstructured content and its associated metadata.
  • Evaluate technologies & implement solutions that enable the capture, publication and governance of business and system metadata, including lineage and traceability
  • Partners with other internal teams and peers in the department to ensure solutions meet the holistic needs of various stakeholders.
  • Executes on initiatives to improve the accuracy, security, quality, completeness, speed of data, and decisions made from Big Data analysis.
  • Leverages and uses best practices to develop technical solutions used for handling of Unstructured data.
  • Supports Innovation; regularly provides new ideas to help people, process, and technology that interact with data ecosystem.
  • Develop and builds frameworks/prototypes that integrate Unstructured data and advanced analytics to make better business decisions.
  • Supports a clear communication strategy that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work
  • Trains and develops other engineers.


  • 3 - 5 Years of experience as a Solution Engineer.
  • Bachelor's Degree in Computer Science, MIS, or related area, or equivalent work experience. Master's Degree in a quantitative or scientific field would be a plus.
  • Experience in architecting/designing software products to drive data & analytic efforts using Java/python as the programming language.
  • Experience/Knowledge of building applications using Public/Private cloud infrastructure
  • Frameworks: Micro Service, Spring boot, Spring Cloud, Spring Integration, Hibernate
  • Experience building event-driven architecture patterns using eventing/streaming frameworks like JMS, Kafka and Kinesis
  • Database - Oracle, No SQL DB like MongoDB

Preferred Skills:

  • Experience managing Unstructured data, developing, managing, and manipulating large, complex datasets
  • Experience with metadata management & ETL frameworks
  • Experience with various data types (eg Unstructured, Hierarchical, Relational, Linked Graph Data) Understanding of security risks and vulnerabilities, leveraging tools and techniques to minimize risk.
  • Experience and solid understanding of Bigdata ecosystems such as Spark, Streaming, Kafka, Object stores
  • Experience/Knowledge of Object storage technologies
  • Ability to communicate and present advanced technical topics to general audiences.
  • Leading project teams of various skills levels from a Technical perspective
  • Automation, Configuration Management (eg Ansible, Puppet), Dev-ops practices, CI/CD frameworks (eg Jenkins).
  • Elementary networking skills, switching, routing, Firewalls, load balancing.
  • Linux Containers/Docker/Kubernetes.
  • AWS Knowledge - Lambda, API Gateway, EC2, Step Function, AppSync, Dynamo DB, Cloudwatch, EKS.

Reference: 974863323

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