IMCS Group

GCP Lead / Data Architect and GCP Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Lead / Data Architect and GCP Data Engineer, remote, long-term contract. Requires 10+ years of experience, proficiency in BigQuery SQL, Python, CI/CD, and GCP services. Strong background in data engineering and architecture is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 7, 2026
🕒 - Duration
Unknown
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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
#Airflow #BTEQ #GCP (Google Cloud Platform) #Metadata #Deployment #IAM (Identity and Access Management) #Logging #Automation #Python #Security #Cloud #Monitoring #BigQuery #Data Engineering #API (Application Programming Interface) #Strategy #Scripting #SQL (Structured Query Language) #YAML (YAML Ain't Markup Language) #Clustering #Data Architecture #GIT #Teradata #Teradata SQL
Role description
Job Title: GCP Lead / Data Architect and GCP Data Engineer Location : Remote Duration : Long term • Year of experience: 10+ years Location: Remote Proficiency: o Architecture(for Lead) + hands-on build; can understand & build campaigns following the standards, CI/CD, monitoring. o Python-heavy orchestration (workflow execution, status tracking, retries), integration patterns, production hardening. o BigQuery scripting, stored procedures, dynamic SQL, performance tuning, partitioning/clustering strategies. o API/service development, security, deployment automation on GCP. Technology Expectations - Core(Must have) • BigQuery SQL & scripting (procedures, dynamic SQL, temp/operational tables, performance) • Python (orchestration, config-driven execution, logging/error handling) • Git + CI/CD (code review, automated deployments, environment promotion) Onshore-focused(Lead - must have, developers - good to have) • GCP services (as applicable): Cloud Composer/Airflow, Cloud Run, Pub/Sub, GCS, Secret Manager, Cloud Logging/Monitoring, IAM • Metadata/config-driven design (YAML/config tables), execution-status tracking, testing strategy. • Teradata SQL (BTEQ concepts, Teradata functions/qualify/volatile tables equivalents) • BigQuery translation patterns + validation/reconciliation