Databricks Consulting Services

Databricks solutions built for scale and speed.

Databricks brings your data engineering, analytics, and AI workloads onto a single lakehouse platform, but getting real value out of it takes more than standing up a workspace. Whether you’re migrating off a legacy warehouse, consolidating disconnected data pipelines, or standing up the infrastructure for machine learning at scale, Affirma helps organizations design Databricks environments that are fast, governed, and built to grow. Our consultants bring both the engineering depth and the strategic perspective needed to turn raw data into a platform your teams can trust.

What We Offer

Data Engineering & Pipeline Development

Build scalable ETL/ELT pipelines using Delta Lake and Apache Spark to move, clean, and organize data from disparate sources into a single, reliable foundation.

Data Modeling & Unity Catalog Governance

Establish governed data models and implement Unity Catalog for centralized access control, lineage tracking, and data discovery across your organization.

Enablement & Training

Upskill your teams on Databricks with hands-on training covering platform fundamentals, notebook development, and administration best practices.

Lakehouse Architecture & Migration

Design and implement Databricks lakehouse environments, including migrations from legacy warehouses and on-premises systems, with minimal disruption to existing workflows.

Machine Learning & AI Enablement

Stand up MLflow-based workflows for model development, training, and deployment, giving data science teams a consistent path from experimentation to production.

Performance Tuning & Cost Optimization

Tune cluster configurations, query performance, and job scheduling to reduce compute spend while keeping pipelines fast and reliable.

Why It Matters

Most organizations don’t struggle to collect data, they struggle to trust it. Data lands in different systems, in different formats, on different schedules, and by the time it reaches a report, nobody’s quite sure where the numbers came from. Databricks gives you the infrastructure to fix that, but the platform is only as good as the architecture behind it. Our Databricks consultants help clients build lakehouse environments that hold up under real workloads, so pipelines don’t break at scale and every team is working from the same governed data. With the right foundation in place, your data teams spend less time troubleshooting broken jobs and more time building the models and reports that actually inform decisions.