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# Google Data Architect

- **Company:** Slalom, LLC
- **Location:** Seattle, WA, United States
- **Salary:** $115,000.0 - $146,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, BigTable, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Database Design, DevOps, Distributed Computing Environment, Data Flow Control, Apache Hadoop, Python (Programming Language), Meta-Data Management, MongoDB, Gemini Enterprise (Agent Platform), Cloudera, SQL Databases, Teradata SQL, Enterprise Data Management, Google Cloud, Cloud Platform System, Google Data Studio, Informatica Powercenter, Snowflake, Apache Spark, Data Strategy, Event Driven Architecture, Kubernetes, Infrastructure Automation Frameworks, Google Cloud Functions, Google Bigquery, Apache Kafka, Data Management, Machine Learning Operations, Semantic Modeling, Looker Analytics
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/google-data-architect-seattle-wa--3f9e06ea-e397-4d91-acaa-fadde6eec43e

## About the Role

DataArchitect Data Modeling Tool, Data Analysis, Cloud Computing, Artificial Intelligence (AI), Process Improvement, Product Engineering, Database Extract Transform and Load (ETL), Cloud Architecture, Data Warehousing, Architectural Analysis

## Description

As a Data Architect in Slalom's Google COE, you will work in collaborative teams with minimal oversight and direction to design and deliver enterprise-scale data platforms on Google Cloud Platform (GCP). You will architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud Composer, and other Google Cloud services. You will help clients migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics, and accelerate AI-ready data foundations.

You will typically be responsible for understanding the client's current environment, technical challenges, business outcomes, and future-state data strategy. Using that knowledge, your architecture expertise, Google Cloud experience, and ability to facilitate working design sessions with Slalom and client technical teams, you will lead the analysis, architecture, design, and delivery of the client's next generation Google Cloud Data Platform Solution.

You will leverage your communication skills to clearly describe the trade-offs, benefits, risks, and implementation path of your solution design and drive the combined Slalom and client team to consensus. You are experienced at breaking down complex architecture into deliverable workstreams and will be responsible for quality completion of development items, ensuring they support the technical solution you designed.

As time allows, you will participate in pre-sales activities including shaping Google Cloud data modernization approaches, defining technical solution options, supporting estimates and delivery plans, and partnering with business development teams to address prospect challenges.

 * You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
 * You also must be within commutable distance to one of the Slalom's listed office locations.

What You'll Bring:

As a Data Architect in Slalom's Google COE, you will bring broad architecture experience, deep expertise in Google Cloud data engineering technologies, a curious mindset to client engagements, and a hunger for fearless experimentation in new and interesting ways to meet our clients' most pressing data challenges. You are a self-starter, effective in breaking down large problems into smaller ones, and regularly share what you learn with others within your projects and in the broader Slalom community.

You are passionate about Google Cloud and modern data architecture and continuously expand your skills through hands-on delivery, certifications, and collaboration across the Google COE. You enjoy solving complex data challenges, mentoring engineers, and building scalable, secure, cloud-native platforms.

 * Google Cloud Platform (GCP) solution architecture and enterprise data platform design
 * Google BigQuery, BigLake, Cloud Storage, and Cloud SQL
 * Dataproc, Apache Spark, and distributed data processing patterns
 * Pub/Sub, Dataflow, Apache Kafka, and event-driven architectures
 * Cloud Composer / Managed Airflow, dbt, and modern data workflow orchestration
 * Dataplex, data governance, metadata management, and data quality patterns
 * Python, Java, SQL, and engineering best practices
 * Firestore, Bigtable, Spanner, MongoDB, and cloud-native database design
 * Google Kubernetes Engine (GKE), Cloud Run, CI/CD, DevOps, and Infrastructure as Code

Nice to have

 * Google Cloud Professional Data Engineer certification
 * Google Cloud Professional Cloud Architect certification
 * Looker, Looker Studio, and semantic modeling
 * Gemini Enterprise, Vertex AI, MLOps, and AI-enabled data architecture
 * Experience migrating from AWS, Azure, Teradata, Hadoop, Informatica, Snowflake, or legacy data platforms to Google Cloud