Google Cloud Platform Data Architect / Senior Google Cloud Platform Data Engineer

Job Title: Google Cloud Platform Data Architect / Senior Google Cloud Platform Data Engineer
Job Type: Full-Time
Location: Remote, USA
Salary: $150,000–$200,000 per year
Experience: 10+ years

Job Summary

We are seeking an experienced Google Cloud Platform Data Architect / Senior Google Cloud Platform Data Engineer to design, develop, and implement scalable enterprise data platforms and cloud-based data solutions on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong hands-on experience with Google Cloud Platform data services, cloud migration, data pipelines, data warehousing, real-time processing, and data architecture.

The successful candidate will work with engineering, analytics, data science, and business teams to build secure, reliable, and high-performance data solutions.

Key Responsibilities

• Design and implement enterprise data architectures on Google Cloud Platform.
• Develop scalable batch and real-time data pipelines using Google Cloud Platform services.
• Design and optimize data solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Composer.
• Develop and manage ETL/ELT pipelines using Python, PySpark, SQL, and Apache Beam.
• Build and maintain data lakes, data warehouses, and modern cloud data platforms.
• Develop Airflow/Cloud Composer DAGs for data pipeline orchestration and scheduling.
• Implement real-time streaming solutions using Pub/Sub and Dataflow.
• Perform data migration from on-premises Hadoop and traditional data platforms to Google Cloud Platform.
• Optimize BigQuery queries, storage, performance, and cloud costs.
• Implement data quality, governance, security, and access-control standards.
• Collaborate with data scientists and analytics teams to provide high-quality datasets.
• Integrate Google Cloud Platform with enterprise applications, databases, APIs, and third-party platforms.
• Implement CI/CD and Infrastructure as Code using tools such as Terraform and GitHub/Jenkins.
• Monitor data pipelines and cloud workloads and troubleshoot production issues.
• Participate in architecture discussions, technical design, documentation, and code reviews.
• Provide technical leadership and mentor data engineering team members.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 10+ years of experience in data engineering, data architecture, or cloud data platforms.
• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Excellent experience with:
  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Storage (GCS)
  • Cloud Composer / Apache Airflow
• Strong programming experience with Python, PySpark, and SQL.
• Experience designing data lakes, data warehouses, ETL/ELT pipelines, and dimensional data models.
• Experience with large-scale data processing using Spark / Apache Beam.
• Experience with real-time and batch data processing.
• Experience with cloud migration and modernization projects.
• Strong understanding of data security, governance, quality, and architecture best practices.

Preferred Qualifications

• Experience with Vertex AI / Google Cloud AI services.
• Experience with GKE/Kubernetes, Cloud Functions, Cloud Run, and Cloud Build.
• Experience with Snowflake and/or Databricks.
• Experience with Terraform, GitHub, Jenkins, and CI/CD.
• Experience with Data Fusion, Dataform, DBT, or similar data integration tools.
• Experience in healthcare, financial services, retail, or other enterprise environments.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification is preferred.

Key Skills

Google Cloud Platform, Google Cloud Platform, Google Cloud Platform Data Architecture, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer, Apache Airflow, Python, PySpark, SQL, Apache Beam, Spark, Data Engineering, Data Architecture, Data Lake, Data Warehouse, ETL, ELT, Data Modeling, Real-Time Data Streaming, Cloud Migration, Vertex AI, GKE, Kubernetes, Cloud Functions, Cloud Run, Terraform, GitHub, Jenkins, CI/CD, Snowflake, Databricks, Data Governance, Data Quality, Cloud Security

Ideal Candidate

The ideal candidate is a senior Google Cloud Platform Data Architect/Data Engineer with strong hands-on experience building enterprise-scale data platforms on Google Cloud. Candidates with proven experience in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer/Airflow, Python, PySpark, cloud migration, and data architecture will be highly preferred.