Job Description

Job Title: Google Cloud Platform Onsite Project Lead / Data Solution Architect

Experience: 10 15 years Location: Westchester , IL

Role Overview:

We are seeking a highly experienced Google Cloud Platform Onsite Project Lead with Data Solution Architecture expertise to design and deliver scalable data solutions on Google Cloud Platform. This role emphasizes technical leadership , solution architecture , and code quality , while also providing onsite coordination . The ideal candidate will have strong experience in Google Cloud Platform data services , workflow orchestration , and data governance , with exposure to Azure and Power BI as added advantages.

Key Responsibilities:

• Solution Architecture & Technical Leadership
  • Design end-to-end data architecture on Google Cloud Platform for analytics, governance, and orchestration.
  • Define best practices for data ingestion, transformation, and workflow orchestration .
  • Conduct code reviews , enforce standards, and optimize performance.
  • Provide guidance on data security, data cataloguing, and governance frameworks .
• Google Cloud Platform Expertise
  • Architect solutions using BigQuery , Dataflow , Dataplex Data Catalog , and Cloud Composer .
  • Architect Data Security using Row Level Security, Column Level Security and Table level access
  • Implement ETL/ELT pipelines , streaming and batch processing.
  • Integrate data governance policies and metadata management using Dataplex.
• Onsite Coordination
  • Act as the primary technical point of contact for client stakeholders.
  • Collaborate with offshore teams for smooth delivery and issue resolution.
  • Support project planning and ensure alignment with architectural standards.

Technical Skills Required:

• Google Cloud Platform (Google Cloud Platform):
  • BigQuery: Advanced SQL, performance tuning, partitioning, and optimization.
  • Dataflow: Streaming/batch pipelines using Apache Beam.
  • Cloud Composer: Workflow orchestration using Airflow.
  • Dataplex: Data governance, cataloging, and security policies.
• Strong understanding of data architecture , data modeling , and integration patterns .
• Proficiency in Python , SQL , and familiarity with Airflow DAGs .
• Knowledge of IAM , and security best practices on Google Cloud Platform.
• Power BI for data visualization and reporting.
• Added Advantage:
  • Experience with Azure Data Services (Data Factory, Synapse).

Experience:

• 10 15 years of IT experience with 5+ years in data engineering and architecture .
• 2+ years of hands-on Google Cloud Platform experience across BigQuery, Dataflow, Dataplex, and Composer.
• Proven track record in solution design , code reviews , and technical governance .
• Experience in leading onsite engagements and managing distributed teams.

Preferred Qualifications:

• Google Cloud Platform Professional Data Engineer or Architect certification.
• Exposure to data governance frameworks and metadata management .

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