Solutions Architect

ICBC - North Vancouver, BC (il y a 30+ jours)

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receiving a competitive salary, doing meaningful work, contributing to an inclusive and respectful workplace and are a

responsible and reliable team member, we invite you to apply to join us at ICBC. Drive your career with us.

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Columbia.

Solutions Architect - Big Data

Job Title: IS Solutions Leader Reference Number: 113343

Location: North Vancouver Employment Type: Permanent Full Time

Hours of Work: 7.5 hr Day Shift (M-F) Posted Date: 2020/05/05

Position Highlights

We have an exciting opportunity to join our Information Management team as a Big Data Solutions Architect. This is an amazing

opportunity to drive the overall Big Data solution architecture and play a key role in leading and visioning our roadmap.

Your key focus and deliverables:
  • Leading or participating in initial architecture envisioning effort during inception of larger initiatives
  • Providing strategic technology leadership on data governance, reporting and analytic solutions
  • Accountable for ensuring the solution architecture for Information Management delivery is maintained, is cost effective and
evolves to meet changing business needs

  • Collaborate with IS application teams and business stakeholders on the solution analysis recommendation and planning for
business intelligence/analytics solutions

  • Develop and document architecture decisions within the department
  • Support technology simplification, ensuring decommissioning activities are completed
  • Make recommendations to the organization on technology implementation
Position Requirements

You are an insatiable learner whose knowledge of best practices, emerging trends and changes in the Information Management

domain will play a key part in your success in this role.

The work requires:
  • A sound understanding of the underlying theoretical principles and concepts associated with business intelligence and
analytics.

  • Experience implementing data ecosystems with high data volume, high throughput, and various content structures.
  • Applied experience in big data components such as Hive, Scala, Python, NoSQL, Scoop, Flume, Kafka.
  • Knowledge of Big Data trends in the industry.
  • Knowledge of business procedures from one or more business areas such as Claims, Insurance, Finance and Driver Licensing
are considered an asset.