GCP Data Architect

Machine Intelligence Technologies, LLC; San Jose (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Machine Intelligence Technologies LLC is seeking a skilled Data Engineer to design, build, and maintain scalable data infrastructure in a dynamic cloud environment. You will drive BI, analytics, and ML initiatives by delivering robust data pipelines and optimized data models.

The role emphasizes hands-on work with GCP services (BigQuery, Dataflow, Pub/Sub) and modern orchestration tools, collaborating with product and business teams to meet data requirements.

Qualifications

• Experience building and maintaining scalable data pipelines for analytics and ML
• Strong SQL proficiency and Python development in data engineering contexts
• Hands-on experience with Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub) and data modeling

Responsibilities

• Design, implement, and optimize data pipelines for BI, analytics and ML models.
• Build and maintain scalable data infra on GCP, including BigQuery and data processing services.
• Collaborate with product and analytics teams to translate data requirements into technical solutions.
• Implement and maintain CI/CD for data workflows and ensure robust data lineage and quality checks.

Skills

GCP

BigQuery

Python

SQL

Airflow

Cloud Dataflow

Pub/Sub

Tools

Airflow

Cloud Composer

Dagster

Git

GitHub Actions

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.

MACHINE INTELLIGENCE 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. MACHINE INTELLIGENCE 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 MACHINE INTELLIGENCE 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