Aptimized

Google Cloud Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Google Cloud Architect with 10+ years of experience, including 3+ years in Big Data. It offers a minimum 6-month remote contract, open pay rate, requiring expertise in SQL, Python, ERD, GCP, and DBT. US citizenship or Greencard required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#dbt (data build tool) #Storage #Cloud #Data Warehouse #Data Mining #Visualization #"ETL (Extract #Transform #Load)" #Data Modeling #Data Pipeline #Python #SQL (Structured Query Language) #Data Ingestion #Looker #Security #Big Data #Data Architecture #GCP (Google Cloud Platform)
Role description
SQL, Python, ERD, GCP, and DBT. Position Name: Big Data Architect Location: Remote, USA (Client is from PT Zone, someone close to that zone would be nice to have, but it's not mandatory.) Experience required: 10+ Years, 3+ years in Big data Must Bill Rate: Open Duration: Minimum 6 months, with possible extension based on performance. Looking for candidates who do not require visa sponsorship. Must be US Citizen or Greencard Holder Client Name: TV Station Job Description: • Design and optimize conceptual and logical database models. • Analyze system requirements, implement data strategies, and ensure efficiency and security. • Expertise in SQL, Python, ERD, GCP, DBT is essential. • In-depth understanding of database structure principles. • Deep knowledge of data mining and segmentation techniques. • Familiarity with data visualization tools (Looker). • Building and maintaining big data ETL pipelines using DBT, GCP Services, Python and SQL. • Building, managing and maintaining data ingestion processes landing data into Google Storage, Big Query. • Expertise in implementing and maintaining data pipelines. • Enhancing and maintaining the analytics data warehouse on Big Query. • Improve system performance by conducting tests, troubleshooting, and integrating new elements. Desirable: 10+ years in data modeling with 3+ years in Big data (100TB+)