Sr. Data Architect

Jobs via Dice; San Ramon (CA); On-site; USD 190,000 - 253,000; Full time

Job summary

A leading tech company is looking for a Senior Data Architect to design robust data platforms in San Ramon, CA. This role includes optimizing BigQuery datasets and mentoring teams while adhering to Google's rigorous security standards. Ideal candidates will have extensive experience in data architecture and Google Cloud.

Qualifications

• 15+ years in data architecture, with 3+ years in Google Cloud Platform.
• Hands-on experience with Looker development and dashboard governance.
• Ability to guide migration from Power BI to Looker, ensuring business logic.

Responsibilities

• Architect and implement scalable data platforms using BigQuery and Google Cloud.
• Optimize datasets using partitioning and clustering for improved performance.
• Mentor engineering teams on best practices in data architecture and governance.

Skills

Data Architecture

BigQuery Optimization

Google Cloud Platform

Looker Development

Stakeholder Management

Agile Methodology

Education

Bachelor's degree in Computer Science or related field

Tools

LookML

Google Data Catalog

Job description

3 days ago Be among the first 25 applicants

Dice is the leading career destination for tech experts at every stage of their careers. Our client, AspireIT Solutions, is seeking the following. Apply via Dice today!

Position: Sr. Data Architect

Location: San Ramon, CA (On-site)

Key Responsibilities:

Architect, design, and guide the implementation of scalable and secure data platforms using BigQuery, Looker, and Google Cloud Platform-native services.

Collaborate with CSG stakeholders to define data migration roadmaps, semantic models, and performance benchmarks.

Optimize BigQuery datasets using partitioning, clustering, and materialized views to enhance query performance and cost efficiency.

Drive best practices around LookML modeling, self-service dashboarding, and data governance in Looker.

Provide thought leadership around data architecture patterns, data lineage, access control, and data cataloging.

Ensure alignment with Google Cloud's Well-Architected Framework for security, reliability, and operational excellence.

Work with AMS teams to integrate with application-layer data (e.g., Oracle Fusion, CRM systems) and support production stability.

Mentor engineering teams and support code reviews, framework creation, and migration accelerators.

Collaborate with DevOps and Platform Engineering teams for CI/CD, Terraform-based infrastructure, and automated testing pipelines.

Qualification

15+ years of experience in data architecture, with at least 3+ years on Google Cloud Platform.

Deep knowledge of BigQuery optimization, data modeling, cost management, and query tuning.

Hands-on experience with Looker development (LookML) and dashboard governance.

Familiarity with Google Data Catalog, Dataform, Composer, and Data Fusion.

Experience with enterprise-grade systems such as Oracle Fusion and understanding of AMS practices.

Ability to guide migration from Power BI to Looker, preserving business logic and improving accessibility.

Excellent stakeholder management, communication, and solutioning skills across cross-functional teams.

Comfortable working in an agile, sprint-based model with distributed teams.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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