3Pillar Global

Data Architect, GCP

3Pillar Global

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇬🇹 Guatemala

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Job Level

SeniorLead

Tech Stack

BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

  • Assessments of existing data components, performing POCs, and consulting to stakeholders
  • Propose end-to-end solutions to enterprise data problems, handling data collection, extraction, integration, cleansing, enriching and visualization
  • Design large data platforms to enable Data Engineers, Analysts, and Data Scientists
  • Provide strong exposure to different data architectures, data lake and data warehouse patterns
  • Define tools and technologies to develop automated data pipelines, write ETL processes, and develop dashboards and reports
  • Continually reassess current state for alignment with architecture goals, best practices and business needs
  • Perform DB modeling, decide best data storage, create data flow diagrams, and maintain related documentation
  • Ensure performance, reliability, reusability, resilience, scalability, security, privacy and data governance in designs
  • Apply or recommend best practices in architecture, coding, API integration and CI/CD pipelines
  • Coordinate with data scientists, analysts, and other stakeholders for data-related needs
  • Mentor junior practice members, lead initiatives and Data Practice Offerings
  • Provide thought leadership by representing the Practice/Organization on internal and external platforms

Requirements

  • Expertise in SQL, Python, ERD, GCP (All services, especially BigQuery, GCS, Cloud Function, Composer), DBT with active/heavy hands-on in last 3-5 years
  • Possess the knowledge of Modern Data Technology released in the last 2-3 years
  • Design and optimize conceptual and logical database models
  • Analyze system requirements, implement data strategies, and ensure efficiency and security
  • Improve 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
  • 10+ years in data modeling with 3+ years in Big data (100TB+)
  • Familiarity with data visualization tools
  • Submission requires Resume/Profile and code assessment result in SQL and Python (e.g. IKM CodeChek/TechChek)
Benefits
  • Medical Insurance benefits as per company policy.
  • Life Insurance as per company policy
  • 15 days of paid vacation, sick leave and paid holidays as per local law
  • Paternity and maternity leave as per as per local law
  • Marriage, bereavement and graduation leaves as per company policy
  • Sick leave and paid holidays as per local law
  • Christmas and Middle year bonuses as per local law
  • Monthly productivity bonus as per local law
  • Discounts in local shops
  • Direct deposit of payroll.
  • Paid professional certifications

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonETLDBTdata modelingdata pipeline implementationdata miningdata visualizationdatabase structure principlesGCP
Soft skills
mentoringleadershipstakeholder consultationthought leadershipcollaboration
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