Mohammad Soori
Lead Data Engineer & Architect
Technical Leadership • Data Platforms • AI-ready Systems
I lead the end-to-end delivery of scalable data platforms, from architecture and reusable ingestion frameworks to orchestration, CI/CD, and operational reliability, across finance, insurance, automotive, and telecommunications domains.
I combine technical leadership, clear architectural direction, and a quality-first mindset to build trusted data foundations that enable reliable decisions and AI-ready products.
Technical Leadership & AI-ready Platforms
Driving platform excellence through architectural leadership.
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Platform Ownership
Setting clear architectural direction, reusable patterns, and standards that scale across teams.
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Leadership & Delivery
Guiding engineering decisions and turning complex requirements into working systems.
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Quality & Reliability
Building quality, lineage, observability, and release practices into the platform from the start.
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Applied AI Integration
Applying RAG, agentic AI, LLM-assisted workflows, and knowledge retrieval where they create practical value.
layersPlatform & AI Stack
Azure • AWS
Databricks • Snowflake
Python • SQL
Airflow • dbt
Data Modeling
AI-ready Data • LLM Workflows
Kafka • Streaming
Terraform • CI/CD
Fivetran • Airbyte
handshakeLet’s Build Trusted Data & AI Foundations
Available for:
- Senior and principal data platform roles
- Technical leadership and platform ownership
- AI-ready data and modernization initiatives
terminalFeatured Projects
Selected platforms and systems spanning data, AI, and operational reliability.
Senite - AI-Powered Productivity Platform
ActiveSenite is an AI-powered platform for real-time translation, transcription, and structured conversation output. I lead its product and technical direction across web and mobile architecture, secure integrations, and release-ready delivery. Its promise is simple: every conversation deserves to be understood.
Business Data Infrastructure & AI-ready Lakehouse
ActiveDesigned and implemented a production-grade Azure-based data lakehouse for finance and CRM data. The platform follows a Medallion Architecture (Bronze, Silver, Gold) and supports reliable incremental processing, historical tracking, and analytics-ready datasets. In a second phase, the platform was evolved into a modular ingestion and transformation framework using Airbyte, Apache Airflow, and dbt, significantly reducing data source onboarding time and improving pipeline consistency, transparency, and maintainability. The resulting data foundation supports dependable analytics today and AI-ready use cases as they evolve.
Enterprise Data Warehouse & BI Platforms
CompletedDesigned and delivered enterprise-scale data warehouse and BI solutions for automotive and insurance industries. Responsibilities included end-to-end solution architecture, data modeling, integration of complex source systems, and delivery of analytics platforms supporting business-critical reporting.
Real-Time Monitoring & Data Quality Systems
CompletedLed the design and implementation of real-time data monitoring and alerting systems for operational and shop-floor data. The solution enabled proactive quality control and near real-time decision-making through streaming pipelines, live dashboards, and automated alerts.
Telecom AAA Platform (Authentication, Authorization, Accounting)
CompletedDesigned and implemented a telecom-grade AAA (Authentication, Authorization, Accounting) platform supporting user authentication, access control, and accounting workflows. The system handled high-volume operational data with a strong focus on reliability, data consistency, and secure system design.
Data Platform & AI Engineering FAQ
A concise overview of the platform engineering, technical leadership, and applied AI work represented in this portfolio.
What does Mohammad Soori lead?
Mohammad leads the architecture and delivery of scalable data platforms, including ingestion, orchestration, transformation, quality controls, and reliable operations.
What kinds of data platforms does he design?
His work focuses on trusted data foundations for finance, insurance, automotive, and telecommunications, using clear ownership, reusable patterns, and operational standards.
Does the work include applied AI?
Yes. Applied AI work includes retrieval-augmented generation, agentic workflows, and knowledge retrieval when they solve a defined operational or product problem.
Is Mohammad available for technical leadership roles and projects?
Mohammad is open to senior data platform roles, technical leadership opportunities, and selected engineering engagements that need strong architectural direction.
timelineProfessional Journey
Lead Data Engineer & Architect
Finance Data Platforms • Remote
- Designed and owned a cloud-based data lakehouse architecture supporting finance and CRM analytics.
- Defined platform standards around data quality, reliability, and scalability across ingestion and transformation layers.
- Evolved the platform into a modular architecture to improve data source onboarding, transparency, and long-term maintainability.
Senior Data Engineer
Enterprise Analytics Environment • Remote
- Designed and implemented scalable data pipelines and analytical data models for enterprise environments.
- Ensured data correctness, lineage, and reproducibility across batch and near-real-time workflows.
- Introduced data quality validation and controlled release processes to reduce production regressions.
- Improved platform scalability through standardized data patterns and incremental processing strategies.
Data Pipeline Engineer
Large-Scale Data Services • On-site
- Designed and implemented batch and streaming data pipelines for operational and behavioral analytics.
- Developed monitoring and alerting mechanisms to improve data reliability and incident response.
- Collaborated with cross-functional teams to support data-driven decision-making at scale.
Database Engineer & Software Developer
Enterprise Information Systems • On-site
- Designed and implemented core database schemas and backend components for enterprise systems.
- Improved data consistency, performance, and accessibility across multiple applications.
- Supported business operations through reliable data storage and reporting solutions.
Database Designer & Programmer
Telecom & Infrastructure Systems • On-site
- Designed and implemented a telecom-grade AAA (Authentication, Authorization, Accounting) platform.
- Handled high-volume operational data with a focus on reliability and secure system design.
- Built accounting and operational data systems supporting critical business workflows.
Faculty Member & Academic Lecturer
Computer Engineering Education • On-site
- Delivered undergraduate courses in software engineering, databases, operating systems, and data systems.
- Supervised student projects with emphasis on applied system design and problem solving.
- Bridged academic concepts with real-world engineering practices.