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Data Solutions Architect ( Any Cloud: AWS / Microsoft Azure / Google Cloud )

Roles and Responsibilities

  • Provide deep technical expertise and leadership across a range of cloud data technologies. You will be the go-to person for driving tool selection, resolving complex engineering issues, and guiding best practices during engagements.
  • Lead the design and implementation of data platforms to meet customers' business requirements.
  • Lead whiteboard design sessions with internal and external team members.
  • Identify and communicate technical risks as they emerge over the course of a project.
  • Work closely with Principal Consultants to extract project requirements during technical discovery sessions, define deliverables to meet those requirements, and break down those deliverables into a technical roadmap.
  • Lead teams of data and cloud engineers to execute project roadmaps. Provide guidance on technical tasks, priorities and technical assistance when needed.
  • Manage scope within customer engagements. Identify changing requirements as they arise, determine their impact on scope, and ensure all stakeholders are aware and agree with the changes.
  • Maintain a close working relationship with the customer, as a “Trusted Advisor”. Set clear expectations, challenge assumptions, solicit feedback, and take ownership of project deliverables.
  • Building complex ETL code using technologies such as; Spark, Nifi, Glue
  • Building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub Sub and Spark Streaming
  • Developing code using Python, Java and Scala languages
  • Creating complex data solutions and build data pipelines
  • Establishing credibility and build impactful relationships with our customers
  • Maintain relevant certifications on cloud technologies and stay informed of key industry trends.

Qualification & Experience

  • 3+ years of experience in public cloud environments (AWS, GCP or Azure).
  • 3 + years of developing code using Python, Java or Scala languages
  • Experience with building complex ETL code using technologies such as: Spark, Nifi, Glue
  • Experience with building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub Sub or Spark Streaming
  • Strong SQL skills
  • Creating complex data solutions and build data pipelines
  • Establishing credibility and build impactful relationships with our customers
  • Strong communication skills, written and verbal
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+1 (778) 819-6959

401 - 68 Water St, Vancouver BC, V6B 1A4

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