Principal - Architecture

Principal - Architecture

Role Summary

The GCP Data Solution Architect is responsible for designing and governing enterprisescale data platforms on Google Cloud The role will define targetstate architectures establish reusable data patterns and frameworks guide migration and modernization initiatives and ensure secure scalable and costefficient delivery of data products and analytics solutions

The architect will collaborate with business stakeholders product owners data engineers data modelers governance teams and cloud platform teams to deliver a modern Lakehouse architecture supporting analytics AIML and business intelligence workloads This aligns with enterprise expectations for scalable architectures reusable patterns data product models and trusted data catalog capabilities GCP Data P9 May 2026 Word GCP Data PApproved Word

Key Responsibilities

Architecture Solution Design

Define enterprisescale GCP data platform architecture

Design Lakehouse architectures leveraging Medallion principles Bronze Silver Gold

Create scalable reusable data product and domaindriven architecture patterns

Design metadatadriven ingestion frameworks and data processing architectures

Develop reference architectures design standards and implementation blueprints

Lead architecture reviews and technical governance boards

Cloud Data Platform

Architect solutions using

oBigQuery

oCloud Storage GCS

oDataproc

oDataflow

oPubSub

oCloud Composer

oDataplex

oData Catalog

oVertex AI

oCloud Functions

oCloud Run

Define storage partitioning clustering and optimization strategies

Establish enterprise data interoperability patterns

Data Engineering Modernization

Lead migration from legacy platforms such as Snowflake Hadoop Teradata Oracle or AWSbased ecosystems to GCP

Define ingestion strategies for

oDatabases

oAPIs

oSaaS Platforms

oStreaming Sources

oFiles CSV Parquet Excel

Enable batch incremental CDC and realtime architectures

Design Icebergbased Lakehouse solutions

Governance Security Compliance

Define enterprise data governance standards

Implement data lineage cataloging metadata management and stewardship processes

Design secure architectures using

oIAM

oVPC

oService Accounts

oKMS

oSecret Manager

Ensure compliance with data privacy security and audit requirements

Performance Cost Optimization

Design costefficient cloud architectures

Optimize BigQuery consumption and storage costs

Improve processing performance across Dataflow and Dataproc workloads

Establish FinOps and monitoring practices

Stakeholder Leadership

Engage with business and technology leadership

Convert business requirements into targetstate architectures

Lead workshops discovery sessions and architecture reviews

Mentor engineering teams and provide technical leadership

Required Technical Skills

Google Cloud Platform

BigQuery

Cloud Storage GCS

Dataproc Spark

Dataflow Apache Beam

Cloud Composer Airflow

Dataplex

Cloud Monitoring Logging

Data Architecture

Data Mesh

Lakehouse Architecture

Medallion Architecture

Data Products

Master Data Management

Metadata Management

Data Governance

Data Modeling