Data engineering services
Data modernization, built for AI at scale
AI fails without a modern data foundation.
Most organizations are layering AI onto fragmented, poorly governed systems, and it shows. Among data and analytics leaders with AI in production, 89% say they’ve seen inaccurate or misleading outputs (Salesforce, State of Data and Analytics). More than 500 specialists help enterprises fix the foundation, building open, governed data platforms with Databricks at the core, on AWS, Microsoft Azure, or Google Cloud. Your architecture stays yours, and your AI runs on trusted, production-grade data.
Services
One integrated offering for data and AI at scale
Our data engineers, architects, and ML engineers take you from strategy to production, with governance built in from day one.
Data strategy and architecture
Legacy platform modernization
Lakehouse architecture on Databricks
High-velocity data ingestion
Governance as code
Data quality, lineage, and metadata
Enterprise semantic layer
Real-time streaming analytics
MLOps and LLMOps
Intelligent workflow automation
Built on the platforms we believe in
Databricks and Anthropic are at the core of how we build: governed lakehouses on Databricks, and Claude-powered AI and agentic workflows on top of that foundation. We deliver with equal strength on AWS and Microsoft Azure, including Fabric, and on Google Cloud.
- 41 Databricks-certified professionals, 2 MVPs, and 11 Champions
- Claude Partner Network Select tier partner
- Delivery on AWS, Microsoft Azure, and Google Cloud
What customers say
“With an aggressive product development timeline, we needed a partner who had advanced mobile and machine-learning capabilities and could also match our pace.”Darryl LewisFormer CTO of Stats Perform
“With Lumenalta®, we created a seamless digital experience that includes our marketing site, booking system, member portal, facilitator dashboard, and video platform.”Rachel LinkCOO & CFO of Peoplehood
“With Lumenalta®, it was really easy to find those engineers in the exact discipline we needed, and roll them on the project. We ended up liking one of the engineers so much, we kept them on full time.”Lindsey AndrewsCo-founder & former CEO of Minibar Delivery
Common questions
What do Lumenalta’s data modernization services include?
How does Lumenalta modernize legacy data platforms?
Why does AI need a modern data foundation?
Bring us your most important
data and AI problem.
data and AI problem.
Tell us what you’re working on. A specialist will follow up to talk through how we’d approach it.