Job Openings Cloud / Infrastructure Architect — JAPAC Flex

About the job Cloud / Infrastructure Architect — JAPAC Flex

Role & Responsibilities

  • Serve as the Lead Cloud Engineer for customer engagements.
  • Collaborate closely with the Lead Data Consultant throughout project delivery.
  • Define solution architecture and detailed designs for data platforms on Google Cloud Platform (GCP).
  • Build and deliver solutions, including hands-on development and coding based on approved designs.
  • Engage directly with the client's Data Engineering team, providing consulting, guidance, and technical leadership on both solution architecture and implementation.
  • Perform pair programming with client Data Engineers and facilitate knowledge transfer of the developed solution to the client team.

Minimum Qualifications

Solution Architecture Knowledge & Expertise
  • Experience designing data platform architectures for:
    • Migration of open-source or public cloud data platforms to the cloud, preferably Google Cloud Platform (GCP).
    • Greenfield cloud-native data platform implementations.
  • Ability to research tools and technologies, identify key evaluation criteria, and provide technology selection recommendations.
  • Experience defining solution architectures and detailed designs for:
    • Batch ingestion and processing from sources such as files, cloud databases, and on-premises databases.
    • Streaming solutions for real-time ingestion and processing, including log analytics, clickstream analytics, and other real-time data sources.
  • Experience building data pipelines and CI/CD pipelines.
  • Deep knowledge of at least one public cloud platform, preferably GCP.
Tools & Technologies
  • Google Cloud Platform (preferred); equivalent experience in other public cloud platforms is acceptable.
  • Hands-on experience with:
    • Dataflow
    • Pub/Sub
    • Cloud Composer
    • BigQuery
    • Cloud Run
    • Cloud Functions
    • Spanner
    • Cloud Build
    • Vertex AI
    • Terraform
Coding Expertise
  • Strong programming skills and willingness to work hands-on as part of daily responsibilities.
  • Proficiency in at least one of the following programming languages, preferably both:
    • Python
    • Java

Preferred Qualifications

Solution Architecture
  • Experience with open-source ecosystems and distributions such as:
    • Hadoop
    • Spark
    • Cloudera
    • Hortonworks
  • Understanding of and experience with NoSQL databases, including:
    • HBase
    • MongoDB
Tools & Technologies
  • Experience with additional public cloud platforms.
  • Experience with open-source frameworks and ecosystems, including:
    • Hadoop
    • Spark
    • Oozie
    • Kafka
    • HBase
Certifications

At least one of the following certifications:

  • Google Cloud Professional Data Engineer (preferred).
  • AWS Certification.

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