We turn the Databricks Data Intelligence Platform into production data and AI systems, with the governance and rigor that regulated and federal work demands. Find us through the Databricks partner directory and you reach a small firm of senior practitioners, not a staffing pyramid. We build, ship, and hand over production systems on Databricks, then leave a runbook a third party can operate.
DSE is a partner in the Databricks Consulting and Systems Integrator Partner Program. For clients who do not need a thousand-person systems integrator, we are the senior alternative: principals on your problem, fixed fees, and full IP transfer. The large Global Elite integrators win the logo, then staff your project with junior consultants learning on your budget. We do the opposite. The person who scopes your work is the person who builds it.
Our work is led by a principal holding the Databricks Certified Data Engineer Professional and Databricks Certified Machine Learning Associate credentials, alongside an AWS Solutions Architect certification for multi-cloud delivery. What matters is production systems that run after we leave.
End-to-end Lakehouse builds on Delta Lake, structured with a medallion (bronze, silver, gold) architecture. Reliable, governed data from ingestion through analytics and AI.
ETL and ELT modernization: migrating legacy warehouses and brittle pipelines onto Databricks Workflows and Databricks declarative pipelines. Tested, monitored, and built to scale, with CI gates and observability from day one.
Centralized data governance, lineage, and fine-grained access control through Unity Catalog. This is where our security and IAM discipline shows: least-privilege access, auditable lineage, and a governance posture that holds up under a compliance review.
Model development and production MLOps with MLflow: experiment tracking, model registry, deployment, and the eval discipline that keeps models honest after launch.
RAG and agentic systems built on Mosaic AI: vector search, model serving, and retrieval over governed enterprise data, with evaluation harnesses rather than vibes.
Moving off legacy on-premises warehouses and aging cloud platforms onto the Data Intelligence Platform, with a phased plan that sequences risk and protects production the whole way.
Compute and Databricks SQL warehouse tuning, workload right-sizing, and cost governance for teams whose Databricks spend has outrun their controls.
Our principal has delivered Databricks in regulated financial services and federal environments, where authority-to-operate (ATO) documentation under the NIST Risk Management Framework, CMMC-aware delivery, and provable data governance are not optional. We bring that rigor to commercial clients who need it and to public-sector buyers who require it.
Senior-only bench. The person who scopes your work is the person who builds it.
Fixed-fee, fixed-scope. Quoted inside 48 hours of a scoping call. No time-and-materials, no scope discovered on your dime.
Full IP transfer. Code, documentation, runbook, and a 30-day support window. Built to run without us.
Governance from the first commit. Unity Catalog, lineage, and least-privilege from day one, because that is how regulated work has to be done. Federal and regulated experience is framed as capability and principal experience, never as named client work.
We will scope it and send a fixed-fee quote within 48 hours. The senior people who scope your work are the people who do it, and they hand you a runbook when it is done.