GCP data Architect

Santa Clara County, CA - USA

Monthly Salary: Not Disclosed

Posted on: 15 days ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

Data Architect

We are looking for a highly skilled and motivated Data Achitect to join our team. The ideal candidate will be responsible for designing building and maintaining scalable data infrastructure that drives business intelligence advanced analytics and machine learning initiatives. You must be comfortable working autonomously navigating complex challenges and driving projects to successful completion in a dynamic cloud environment.

Core Responsibilities

Design and Optimization: Design implement and optimize clean well-structured and performant analytical datasetsto support high-volume reporting business analysis and data science model development.
Pipeline Development: Architect build and maintain scalable and robust data pipelines for diverse applications including business intelligence advanced analytics
Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaminganalytics.
Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills & Experience

Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments with a strong preference for Google Cloud Platform (GCP) services specifically:
- BigQuery: Expert-level skills in data ingestion performance optimization and data modeling within a petabyte-scale environment.
- Experience with other relevant GCP services like Cloud Storage Cloud Dataflow/Beam or Pub/Sub
Programming & Querying:
- Python: Expert-level programming proficiency in Python including experience with relevant data engineering libraries
- SQL: A solid command of advanced SQL for complex querying data processing and performance tuning.
Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g. Apache Airflow Cloud Composer AirflowDagster or similar).
DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g. GitLab GitHub Actions) to automate deployment and testing processes.

Job Description: Data Architect We are looking for a highly skilled and motivated Data Achitect to join our team. The ideal candidate will be responsible for designing building and maintaining scalable data infrastructure that drives business intelligence advanced analytics and machine learning init...

Job Description:

Data Architect

Core Responsibilities

Design and Optimization: Design implement and optimize clean well-structured and performant analytical datasetsto support high-volume reporting business analysis and data science model development.
Pipeline Development: Architect build and maintain scalable and robust data pipelines for diverse applications including business intelligence advanced analytics
Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaminganalytics.
Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills & Experience

Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments with a strong preference for Google Cloud Platform (GCP) services specifically:
- BigQuery: Expert-level skills in data ingestion performance optimization and data modeling within a petabyte-scale environment.
- Experience with other relevant GCP services like Cloud Storage Cloud Dataflow/Beam or Pub/Sub
Programming & Querying:
- Python: Expert-level programming proficiency in Python including experience with relevant data engineering libraries
- SQL: A solid command of advanced SQL for complex querying data processing and performance tuning.
Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g. Apache Airflow Cloud Composer AirflowDagster or similar).
DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g. GitLab GitHub Actions) to automate deployment and testing processes.