Google Cloud Platform Architect AI & DATA Analytics
Posted 1 day ago by 1751355184
Negotiable
Outside
Remote
USA
Summary: The Google Cloud Platform Architect for AI & DATA Analytics will leverage extensive experience in building telecom-scale data platforms and machine learning solutions on Google Cloud Platform. This role requires hands-on expertise in BigQuery, Vertex AI, Python, SQL, and Power BI, with a focus on telecom business processes, particularly SAP BRIM. The architect will be responsible for unlocking insights from large datasets to support critical telecom use cases. The position is remote and emphasizes collaboration with various stakeholders to deliver high-value analytical products.
Key Responsibilities:
- Architect and implement scalable, telecom-specific data solutions on Google Cloud Platform leveraging BigQuery and native Google Cloud Platform services.
- Design semantic layers and reporting-ready data marts to support subscriber analytics, billing insights, usage behavior, and collections performance.
- Build and operationalize machine learning models on Vertex AI / Google Gemini to solve telecom use cases like churn prediction, usage-based segmentation, and fraud detection.
- Develop robust ETL/ELT pipelines to ingest, clean, and transform large datasets (including from SAP BRIM).
- Write optimized SQL for telecom KPIs and business rules (e.g., aging buckets, AR at risk, DSO, billing completeness).
- Enable dashboarding and analytics via Power BI, creating intuitive visualizations for finance, operations, and customer teams.
- Partner with business analysts, data engineers, and domain SMEs to deliver high-value analytical products across prepaid, postpaid, broadband, and enterprise business units.
- Establish best practices for data governance, security, and model lifecycle within a telecom context.
Key Skills:
- Google Cloud Platform (Google Cloud Platform) Expertise in architecture, BigQuery, Dataflow, Pub/Sub, Cloud Functions
- BigQuery Telecom data modeling, partitioning strategies, advanced SQL for large data
- Vertex AI / Google Gemini ML pipeline design, training/deployment, GenAI integration
- Python Data science scripting, ML workflows, data engineering
- SQL Telecom-specific transformations (e.g., AR aging, billing aggregates, usage metrics)
- Power BI Telecom dashboards, embedded analytics, BigQuery connector usage
- Machine Learning Proven experience solving telecom use cases (churn, NPS, fraud, usage clustering)
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Hi,
Greetings from Infinite Computer Solutions!
Please let me know your interest for the below mentioned requirement:
Job Description Google Cloud Platform Architect AI & DATA Analytics
Location: Remote
Implementation Partner: Infinite Computer Solutions
About the Role:
We are looking for a seasoned Google Cloud Platform Architect AI & DATA Analytics with deep expertise in building telecom-scale data platforms and machine learning solutions on Google Cloud Platform (Google Cloud Platform). This role is ideal for someone with hands-on experience in BigQuery, Vertex AI / Google Gemini, Python, SQL, and Power BI, and a strong understanding of telecom business processes, especially involving SAP BRIM (Billing & Revenue Innovation Management).
The architect will help us unlock insights from large volumes of subscriber, usage, billing, and collections data to enable customer 360, revenue analytics, churn prediction, and other mission-critical telecom use cases.
Key Responsibilities:
Architect and implement scalable, telecom-specific data solutions on Google Cloud Platform leveraging BigQuery and native Google Cloud Platform services.
Design semantic layers and reporting-ready data marts to support subscriber analytics, billing insights, usage behavior, and collections performance.
Build and operationalize machine learning models on Vertex AI / Google Gemini to solve telecom use cases like churn prediction, usage-based segmentation, and fraud detection.
Develop robust ETL/ELT pipelines to ingest, clean, and transform large datasets (including from SAP BRIM).
Write optimized SQL for telecom KPIs and business rules (e.g., aging buckets, AR at risk, DSO, billing completeness).
Enable dashboarding and analytics via Power BI, creating intuitive visualizations for finance, operations, and customer teams.
Partner with business analysts, data engineers, and domain SMEs to deliver high-value analytical products across prepaid, postpaid, broadband, and enterprise business units.
Establish best practices for data governance, security, and model lifecycle within a telecom context.
Must-Have Skills:
Google Cloud Platform (Google Cloud Platform) Expertise in architecture, BigQuery, Dataflow, Pub/Sub, Cloud Functions
BigQuery Telecom data modeling, partitioning strategies, advanced SQL for large data
Vertex AI / Google Gemini ML pipeline design, training/deployment, GenAI integration
Python Data science scripting, ML workflows, data engineering
SQL Telecom-specific transformations (e.g., AR aging, billing aggregates, usage metrics)
Power BI Telecom dashboards, embedded analytics, BigQuery connector usage
Machine Learning Proven experience solving telecom use cases (churn, NPS, fraud, usage clustering)
Good-to-Have Skills:
Hands-on experience with SAP BRIM data models (e.g., DFKKOP, DFKKZP, BITs, TE_BILLDOC)
Experience building models using BQML and Vertex AI
Google Cloud Platform certifications: Professional Data Engineer, Cloud Architect
Qualifications:
Bachelor s or Master s degree in Computer Science, Data Engineering, Telecommunications, or related field
15+ years of experience in cloud-based analytics and data architecture
3+ years working on telecom data (BSS, billing, CRM, network usage preferred)
Excellent stakeholder engagement and storytelling through data