Google Cloud Platform Architect

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Looking for an experienced Google Cloud Platform Data Architect to shape and lead our data architecture and analytics initiatives on the Google Cloud Platform. You’ll work closely with cross-functional teams to design scalable data solutions, optimize data pipelines, and enable data-driven decision-making across the organization.

Key Responsibilities:

 

  • Architecture Design: Craft scalable and reliable data architectures on Google Cloud Platform, encompassing data ingestion, storage, processing, analytics, and visualization for diverse data types (structured, semi-structured, unstructured).
  • Big Query Expertise: Design and optimize data warehouses and data marts in Big Query, ensuring optimal performance, security, and cost-effectiveness.
  • Data Pipeline Development: Build robust and efficient data pipelines leveraging Google Cloud Platform services like Dataproc, Dataflow, Pub/Sub, and Cloud Functions.
  • Data Modelling & Governance: Establish data models (conceptual, logical, physical), metadata management processes, and data governance policies to ensure data integrity, quality, and compliance.
  • Python Proficiency: Fluency in Python for data manipulation, transformation, analysis, and working with Google Cloud Platform APIs.
  • SQL Mastery: Expert in SQL for data querying, analysis, and integration across Google Cloud Platform services. Collaborate & Mentor: Partner with data engineers, data scientists, and business stakeholders to translate business requirements into actionable data solutions.
  • Provide guidance and mentorship to team members.

Qualifications:

 

  • 10+ years of hands-on experience as a Data Architect with a strong focus on Google Cloud Platform with a minimum of 5+ years of In-depth knowledge of Google Cloud Platform services (Big Query, Dataproc, Dataflow, Cloud Storage, Pub/Sub, etc.), Python, and SQL.
  • Strategic thinking and problem-solving skills with the ability to analyze complex data sets and derive actionable insights.
  • Excellent written and verbal communication, with the ability to present technical concepts to diverse audiences.
  • Experience in managing data-related projects and delivering solutions on time and within budget.

Desired Skills:

 

  • Experience with machine learning and AI concepts on Google Cloud Platform (Vertex AI, Big Query ML)
  • Working knowledge of streaming data technologies (Kafka, Apache Beam)
  • Familiarity with data visualization tools (Looker, Google Data Studio, Tableau)
  • Cloud certifications on Google Cloud Platform (Professional Data Engineer, Professional Cloud Architect)

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