Collaboration over heroics
I would rather move a team forward than be the smartest voice in the room. The smartest voice is almost never one voice.
Director of Partner Architecture · New York, NY
Cloud, AI, and data,
partnered for
production.
Complex data, security, and integration challenges are the ones I most want to help with. I lead technical partner architecture across the major cloud providers and a portfolio of enterprise data and AI technology companies, turning co-sell and co-build commitments into systems that actually run, spanning master data management and data governance to graph databases and generative AI, deployed across AWS, Google Cloud, and Microsoft Azure.
About
I am a Director of Partner Architecture with two decades across cloud data management, database platforms, and generative AI. My work sits at the intersection of three things that have to coexist cleanly: how data is modeled and governed, what database is right for the problem, and how AI can be applied without ignoring either.
Today I lead technical partner architecture across the major cloud providers and a portfolio of data and AI technology companies, designing joint reference architectures that combine master data management and data governance with graph databases, retrieval-augmented generation, vector search, and knowledge graphs, so that co-sell and co-build commitments turn into systems customers can actually run. That focus was built over more than a decade of hands-on delivery in master data management, data integration, and data quality at enterprise scale, with earlier roles in data infrastructure across financial services, healthcare, and manufacturing.
Throughout that arc, the constant has been the data layer. Cloud is a substrate. Databases and the way data flows through them are where most architectures actually succeed or fail.
I care deeply about secure, well-architected systems. Zero-trust thinking, least privilege, identity-first design, and operational simplicity are non-negotiable for me, regardless of how exciting the model on top is.
I also spend a meaningful amount of my time on stage and in rooms full of practitioners. Frequent speaker at industry events and technical conferences, with hundreds of partner workshops, executive briefings, and architectural deep dives delivered across the AWS, Google Cloud, and Microsoft Azure ecosystems.
- 20+years across cloud, data, and AI
- 100sof workshops and deep dives delivered
- 3cloud ecosystems, professionally certified
How I work
Comfortable changing course
Plans should answer to evidence, not pride. I will redesign cheerfully when the data asks for it.
Same curiosity at every stage
Whether the conversation is about why something broke or what we are building next, I show up the same way.
Plain language, calm tone
Complex systems do not need complex talkers. I aim to leave the room less confused than I found it.
Experience
Director of Partner Architecture
Lead technical partnerships across the major cloud providers and a portfolio of data and AI technology companies. Design joint reference architectures spanning master data management, data governance, and graph databases combined with LLMs, vector search, and knowledge graphs for high-throughput inference and real-time decisioning. Serve as escalation architect for complex distributed-systems and AI-infrastructure engagements.
Senior Cloud Data Management Specialist
Eleven-plus years across pre-sales, professional services, and architecture leadership. Built and led C-suite engagements, authored technical proposals, and ran POC environments across AWS, Azure, and GCP. Managed delivery teams across financial services, healthcare, and manufacturing.
Principal Consultant, MDM
MDM implementations for Fortune 100 clients. Defined data governance processes, modeling standards, and matching rules alongside data stewards and analysts.
Earlier roles in master data management and data infrastructure across financial services, healthcare, and industrial sectors.
What I work on
Databases & Graph
Graph data modeling and knowledge-graph design, paired with relational, document, and analytical stores when those are the right tool. Knowledge graphs grounded into LLM frameworks for explainability and hallucination control.
- Graph Databases
- Knowledge Graphs
- Vector Search
- Polyglot Persistence
Cloud Data Management
Master data management, data integration, data quality, and governance, hardened through more than a decade of enterprise-scale delivery. The unglamorous work that decides whether an AI program ever sees production.
- MDM
- Data Quality
- Data Governance
- iPaaS
- ETL / ELT
Generative AI & LLMs
RAG, vector search, knowledge-graph grounding, agentic orchestration, prompt engineering, embedding pipelines, MCP integrations across leading model and agentic-IDE ecosystems.
- RAG
- LangChain
- LlamaIndex
- Claude API
- MCP
Cloud & Distributed Systems
Cloud-native, security-first systems on AWS, Azure, and GCP. High-throughput inference, container orchestration, IaC with Terraform and CloudFormation, DevSecOps in the pipeline.
- AWS
- GCP
- Azure
- Kubernetes
- Terraform
- Docker
Credentials
Also certified: Graph Database Professional, Graph Data Science, Master Data Management (Multidomain), and Career Essentials in Generative AI by Microsoft and LinkedIn.
Recognition
- Winner, Databricks Hackathon (2025)
- Google Cloud Partner All-Star, Sales (2023)
- Product Specialist of the Year (2022)
- President’s Club (2019, 2020)
- Presales Product Specialist of the Year, North America (2020)
- Engineering Excellence Award (2006)
Open Source
A selection of partner integration projects I have led or contributed to, bringing graph database technology into the cloud and SaaS ecosystems our customers actually run on.
Graph + Snowflake Cortex MCP Integration
MCP server exposing a graph database to Snowflake Cortex agents, so platform-side reasoning can query graph context directly.
Graph Reasoning Agent for Databricks
Databricks agent that brings graph-based reasoning into the Databricks AI runtime and notebooks.
AWS PrivateLink Reference for Graph Databases
AWS PrivateLink reference for a production graph database on port 443, the production pattern for keeping graph traffic off the public internet.
Azure Databricks to Graph Database Private Link
Private connectivity blueprint between Azure Databricks and a managed graph database via Private Link, with end-to-end network isolation.
ServiceNow to Graph Database Kafka CDC
Streams ServiceNow change events into a graph database through Kafka CDC for real-time CMDB and incident graphs.
Managed Graph Database on GCP Private Service Connect
A managed graph database on Google Cloud over Private Service Connect, deployable as a clean, secure pattern for enterprise tenants.
Graph-Aware Slack Bot
Slack bot that talks to a graph-based knowledge graph, so teams can query their own data without leaving the channel.
Graph-Powered Fraud Detection Reference Architecture
Reference architecture for graph-powered fraud detection, with the queries and patterns that actually catch the ring structures.
Writing
A selection of articles I have authored or contributed to on graph databases, GenAI, and cloud data platforms.
Turning ServiceNow data into connected enterprise intelligence
How combining ServiceNow operational workflows with a knowledge graph lets generative AI reason across incidents, dependencies, ownership, and historical resolutions in their actual enterprise context.
Graph Technology for Air-Gapped Environments on Google Distributed Cloud
A graph database platform is now certified “Google Cloud Ready, Distributed Cloud,” letting regulated and sovereign-tenant customers run graph workloads in fully air-gapped GDC deployments with no internet path required.
AWS PrivateLink and VPC Lattice Improve Cross-Account Resource Sharing for Graph Databases
How AWS’s PrivateLink and VPC Lattice capability lets teams share graph databases privately across AWS accounts, with no load balancers and no incidental exposure of the surrounding VPC.
How a new Google Cloud to graph database Dataflow template streamlines data movement
A no-code Dataflow template, co-built with a graph database partner, that moves and transforms data from BigQuery and Cloud Storage straight into a graph.
A Complete Guide to Production-Grade PrivateLink for Enterprise Graph Databases
End-to-end walkthrough of connecting enterprise graph database clusters across AWS VPCs over PrivateLink with full-strict TLS and private DNS integration.
Off the clock
Woodworking
Tables, a loft bed, smaller projects in between. Hand tools, joinery, the smell of fresh shavings. A counterweight to a life spent in front of screens.
Automobiles
Hands-on, not just curious. Spark plugs, fluids, brake rotors, the occasional air intake manifold that takes longer than it should. The kind of weekend project that teaches you something every time.
Photography
Mostly travel and family, occasionally the dog when he sits still long enough.
Restoration videos
Old cars, old machines, old tools. The patience of bringing something forgotten back to life never gets old.
Pets
One dog and one cat. They run the household. I just contribute the salary.
