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BI & Analytics Technical Architect

Aptino

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Senior Application & Technical Architect - Data Warehouse/Analytics

DATAMAXIS, Inc

Remote • 21d ago

Easy Apply

Contract, Third Party

$65 - $75

Technical Architect(Java Enterprise Ecosystem.Artificial Intelligence)

eSystems, Inc.

Remote • 5d ago

Easy Apply

Full-time

Depends on Experience

Cloud, Data & AI Solutions Deck Architect / Technical Presentation Specialist

iQuest Solutions Corp

Hyderabad, Telangana • 17d ago

Easy Apply

Part-time

Job Details

Skills

Data Security
Continuous Delivery
Continuous Integration
Cost Management
Collaboration
Communication
Computer Science
Business Intelligence
Cloud Computing
Clustering
Analytics
IBM Cognos Analytics
IT Architecture
IT Management
Good Clinical Practice
Google Cloud
Google Cloud Platform
Embedded Systems
Enterprise Architecture
Stakeholder Management
Query Optimization
SQL
Semantics
Microsoft Power BI
Migration
Modeling
Prompt Engineering
Git
Mentorship
Meta-data Management
MicroStrategy
Data Architecture
Data Engineering
Dimensional Modeling
Artificial Intelligence
Automated Testing
Customer Engineering
Tableau
Technical Writing
Translation

Data Security
Continuous Delivery
Continuous Integration
Cost Management
Collaboration
Communication
Computer Science
Business Intelligence
Cloud Computing
Clustering
Analytics
IBM Cognos Analytics
IT Architecture
IT Management
Good Clinical Practice
Google Cloud
Google Cloud Platform
Embedded Systems
Enterprise Architecture
Stakeholder Management
Query Optimization
SQL
Semantics
Microsoft Power BI
Migration
Modeling
Prompt Engineering
Git
Mentorship
Meta-data Management
MicroStrategy
Data Architecture
Data Engineering
Dimensional Modeling
Artificial Intelligence
Automated Testing
Customer Engineering
Tableau
Technical Writing
Translation

Summary

Role – BI & Analytics Technical Architect

Location: San Francisco, CA (Remote)
Duration: 12 Months

Job Summary:

We are looking for an experienced Technical Architect with strong expertise in Looker, LookML, BigQuery, and Google Cloud Platform. The candidate will drive enterprise data architecture, semantic modeling, BI modernization, and cloud migration initiatives. The role requires hands-on technical leadership, architecture design, and experience building scalable, governed analytics solutions, including AI-ready data foundations.

Key Responsibilities:

Define end-to-end technical architecture for enterprise analytics solutions, including LookML semantic layers, governed metrics, data models, security, and performance standards.
Lead migration initiatives from legacy BI platforms such as Tableau, Power BI, MicroStrategy, and Cognos to Looker and BigQuery.
Design reusable migration frameworks and leverage automated conversion and translation tools.
Lead hands-on development sessions, architecture reviews, and technical workshops with customer engineering teams.
Develop LookML models and Knowledge Catalog metadata to support governed, AI-driven, and conversational analytics.
Establish enterprise architecture standards, CI/CD processes, development guidelines, and reusable frameworks for customer Centers of Excellence (CoE).
Optimize Looker and BigQuery performance, troubleshoot complex technical issues, and address existing architectural gaps.
Mentor engineering teams and provide technical guidance, code reviews, and architectural recommendations.
Collaborate with Google Cloud engineering teams to resolve complex platform challenges.

Required Skills & Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.
5–10 years of experience in Data Engineering, Analytics Engineering, BI, or Data Architecture.
Minimum 3 years of hands-on experience in LookML development and enterprise Looker implementations.
Strong expertise in SQL, BigQuery, query optimization, partitioning, clustering, and cost management.
Experience with dimensional modeling, Data Vault, semantic layers, and governed enterprise metrics.
Proven experience leading large-scale BI migration or modernization projects.
Strong understanding of Google Cloud Platform architecture, IAM, data security, and governance.
Excellent technical documentation, communication, and stakeholder management skills.

Preferred Skills:

Looker APIs, Looker Extensions, Data Apps, Embedded Analytics, and Looker Studio Pro.
dbt, Dataform, Dataplex, and Knowledge Catalog.
Google Cloud IAM and enterprise security frameworks.
Exposure to Gemini, Conversational Analytics, LLM-based solutions, and AI agents.
Knowledge of prompt engineering and semantic grounding for AI-driven analytics.
Experience with Git, CI/CD, and automated testing.
Google Cloud Professional Data Engineer or Looker LookML Developer certification is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90999382
Position Id: 9131659
Posted 3 hours ago

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Contact the job poster

Anchal Khapekar

Recruiter @ Aptino

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