I'm Marland Moore. With years of technical leadership, I build high-throughput data platforms, unlock your data with AI, lead cloud modernization teams and projects, and build production AI & agent architectures.
I am a hands-on Principal Systems Architect and Engineering Leader with over two decades of experience spanning mission-critical enterprise environments. My career has centered on solving high-stakes architectural challenges: migrating multi-billion record operational stores without service interruption, eliminating query latency in enterprise analytical lakes, and decoupling complex monolithic systems into resilient cloud-native topologies.
What makes my perspective unique is a rare duality: deep, battle-tested mastery of legacy relational engines (IBM DB2, Oracle Exadata, SQL Server) combined with active, state-of-the-art expertise in Snowflake, modern AWS/Azure cloud infrastructure, and autonomous AI architectures.
Safely decomposing legacy systems with strict data fidelity and continuous availability.
Configuring compute clustering, partition keys, and caching to avoid runaway cloud bills.
Lead / Principal Systems Architect
Comprehensive architectural leadership spanning large-scale data systems, modern cloud infrastructure, complex monolith refactoring, and state-of-the-art AI systems.
Engineering high-throughput, cost-optimized data lakehouses and analytical warehouses. Eliminating query latency by tuning clustering keys, materialized views, and partition structures across transactional backends and modern analytics engines.
Designing reliable, self-healing multi-cloud infrastructure across AWS and Microsoft Azure. Automated provisioning via Terraform, container orchestration with Kubernetes, and enterprise-grade Zero-Trust identity integration.
Untangling monolithic enterprise backends into decoupled, event-driven microservices. Migrating decades of transactional data from legacy IBM DB2, Oracle, and SQL Server databases into resilient modern services with zero downtime.
Building production-grade autonomous agent workflows, Model Context Protocol (MCP) integrations, and enterprise RAG systems. Implementing evaluation pipelines, token cost guardrails, and secure sandboxed tool execution.
Architected and led the database modernization and massive-scale ELT pipeline design for the New York State Department of Taxation & Finance. Migrated over two decades of highly sensitive historical records encompassing billions of rows from legacy IBM DB2 into modernized relational architectures—achieving zero data loss, strict compliance adherence, and uninterrupted ongoing operations.
Spearheaded enterprise data architecture unifying disparate production systems across PostgreSQL, Oracle, and Microsoft SQL Server into a high-performance Snowflake analytics platform. Modeled complex relational data with dbt, tuned virtual warehouse concurrency, and established real-time API integrations that reduced executive dashboard latency from minutes to under 2 seconds.
Designed resilient agentic workflows integrating custom Model Context Protocol (MCP) servers with enterprise tooling. Orchestrated multi-step reasoning swarms using LangGraph, incorporating semantic search with pgvector and Qdrant, dynamic memory injection, and strict input/output guardrails to reliably execute engineering and analytical automation.
Implemented comprehensive Zero-Trust access and identity management frameworks using Okta, SAML 2.0, and OpenID Connect (OIDC). Unified access control across hybrid cloud footprints, established automated role-based access governance (RBAC), and integrated security telemetry with centralized SIEM logging.
A comprehensive overview of technologies, frameworks, and methodologies deployed across two decades of high-scale systems engineering.
Whether you are exploring high-scale Data Platform modernization, architecting next-generation Cloud infrastructure, evaluating Agentic AI systems, or seeking seasoned architectural leadership—I'd welcome the conversation.
Professional background & network
in/marlandmoore →Code repositories & experiments
github.com/marlandmoore →Click to copy address
marland@marlandtech.com