3Pillar Global

Data Architect, GCP

3Pillar Global

full-time

Posted on:

Location: 🇺🇸 United States

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Salary

💰 $120,000 - $165,000 per year

Job Level

Mid-LevelSenior

Tech Stack

BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

  • Assessments of existing data components, Performing POCs, Consulting to the stakeholders
  • Proposing end to end solutions to an enterprise's data specific business problems, and taking care of data collection, extraction, integration, cleansing, enriching and data visualization
  • Ability to design large data platforms to enable Data Engineers, Analysts & scientists
  • Strong exposure to different Data architectures, data lake & data warehouse
  • Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights
  • Continually reassess current state for alignment with architecture goals, best practices and business needs
  • DB modeling, deciding best data storage, creating data flow diagrams, maintaining related documentation
  • Taking care of performance, reliability, reusability, resilience, scalability, security, privacy & data governance while designing a data architecture
  • Apply or recommend best practices in architecture, coding, API integration, CI/CD pipelines
  • Coordinate with data scientists, analysts, and other stakeholders for data-related needs
  • Help the Data Science & Analytics Practice grow by mentoring junior Practice members, leading initiatives, leading Data Practice Offerings
  • Provide thought leadership by representing the Practice / Organization on internal / external platforms

Requirements

  • Data Architect with recent expertise in SQL, Python, ERD, GCP(All services, especially BigQuery, GCS, Cloud Function, Composer), DBT with Active/Heavy hands-on.
  • Must have worked in Big data (100TB+)
  • Possess the knowledge of Modern Data Technology released.
  • Design and optimize conceptual and logical database models
  • Extensive experience in data modeling.
  • Analyze system requirements, implementing data strategies, and ensuring the efficiency and securityImprove system performance by conducting tests, troubleshooting, and integrating new elements
  • In-depth understanding of database structure principles
  • Expertise in implementing and maintaining data pipelines
  • Deep knowledge of data mining and segmentation techniques
  • Familiarity with data visualization tools
  • Candidates will have to attend code assessment test in SQL and Python.
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