GCP Data Architect

Cloud Analytics Technologies, LLC; San Jose (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading cloud analytics firm in San Jose is looking for a highly skilled Data Engineer to design and maintain scalable data infrastructure. The ideal candidate will be proficient in Google Cloud Platform, particularly BigQuery, and have strong programming skills in Python and SQL. You will collaborate with teams to create data solutions and support various analytics projects. If you thrive in a dynamic environment and embrace complex challenges, this position offers excellent opportunities for growth and a chance to influence key projects.

Qualifications

• Extensive hands-on experience with the Google Cloud Platform.
• Experience in scaling data infrastructure for analytics.
• Proficiency in building and optimizing data pipelines.

Responsibilities

• Design, implement, and optimize analytical datasets.
• Architect and maintain scalable data pipelines.
• Work with product teams to understand data requirements.

Skills

Cloud Platform Expertise (GCP Focus)

Expert-level skills in BigQuery

Expert-level programming proficiency in Python

Solid command of SQL

Data Pipeline Orchestration experience

Experience with DevOps/CI/CD tools

Tools

Apache Airflow

Cloud Storage

Cloud Dataflow/Beam

Pub/Sub

Git

Job description

We are looking for a highly skilled and motivated Data Engineer 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 datasets to 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/streaming analytics.

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, Airflow, Dagster, 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.

CLOUD ANALYTICS TECHNOLOGIES is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

Equal Opportunity Employer

CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

Some of our Business Ventures - Knowledge Analytics

Do restrictive necessities, your capability for advanced analytics or your business model need custom‑made applications and infrastructure configurations? opt for our hosted managed services to urge comprehensive analytics solutions supported industry‑leading Cloud Analytics Technologies, LLC code - delivered by the Cloud Analytics Technologies, LLC consultants UN agency understand these solutions best. Through a mix of with‑it technology and dedicated service and support, Cloud Analytics Technologies, LLC hosted managed services will facilitate you: