Architecture and Technical Direction
Set the target architecture, engineering standards, platform patterns, and technical roadmap. Provide senior direction while helping the internal team make sound implementation decisions.
Databricks Consultant
Senior Databricks
Consultant — Architecture and Engineering
Senior Databricks architect and engineer who can lead the technical direction, work hands-on alongside your team, or own a focused project or POC from scope through production.
- Hands-on technical leadership
- Architecture through production delivery
How I Can Help
Senior ownership across the Databricks delivery lifecycle.
The work can begin with strategy and architecture, move directly into hands-on engineering, or focus on a clearly defined delivery problem.
Platform Modernization and Migration
Modernize existing data environments and migrate workloads from platforms such as Azure Synapse and ADF to Databricks without losing sight of production continuity.
Hands-on Data Engineering
Build and modernize production pipelines, data models, transformation workloads, and analytics layers using Python, PySpark, SQL, Delta, and the broader Databricks platform.
Governance and Production Readiness
Implement Unity Catalog, data quality, CI/CD, observability, deployment patterns, and operating standards so data, analytics, and AI solutions are secure, governed, reliable, and maintainable in production.
Engagement Models
The level of involvement your project actually needs.
Technical Lead
Own the architecture and technical direction, establish patterns, guide delivery and unblock the engineering team.
Hands-on Architect and Engineer
Work directly in the platform, designing the solution and building the pipelines, models, governance and deployment components.
Defined Project or POC
Take responsibility for a focused scope and deliver it directly, or work alongside the client's team to prove an approach before a larger commitment.
Capabilities
The technical capabilities I bring to a project.
Architecture and Platform
- Databricks architecture
- Medallion architecture and data modeling
- Platform standards
- Azure, AWS, and Google Cloud
- Synapse and ADF migrations
Engineering
- Python and PySpark
- SQL and Databricks SQL
- Delta Lake
- Lakeflow Declarative Pipelines
- Auto Loader
- Apache Airflow
Governance and Delivery
- Unity Catalog
- Data quality and observability
- CI/CD and deployment automation
- Infrastructure as code
- Environment strategy
- Production operating standards
AI and Self-Service
- AI/BI dashboards and Genie
- Semantic and metric layers
- Governed self-service analytics
- AI-ready data foundations
- Business-facing data applications
Certifications
- Certified Data Engineer AssociateDatabricks
About Brandon
Databricks consultant, architect, and engineer.
I'm a Databricks consultant, solutions architect, and data architect. I work with organizations that need senior technical leadership on demand — helping teams set direction, make sound architecture decisions, and deliver complex data work without adding permanent headcount.
I bring both a technical and business perspective, with experience spanning data engineering, data science, finance, analytics, marketing, and strategy across construction, healthcare, financial services, automotive, real estate, and marketing organizations. I also help teams turn governed enterprise data into business-facing analytics, AI-assisted self-service experiences, and AI-ready data products. The goal is to deliver capabilities that solve a real business problem and remain usable, governed, scalable, and maintainable after the engagement ends.
Selected experience
Lead architect, enterprise lakehouse migration
Lead Databricks architect for a $5B construction company, leading technical direction and execution for the enterprise data and analytics team of 20+ people on moves from legacy data platforms to Databricks on Azure.
AI/BI, Genie, and self-service analytics rollout
Led the rollout of Databricks AI/BI dashboards and Genie spaces for a construction organization, supported by a governed semantic layer that allowed business teams to ask questions in plain language and receive trusted answers without relying on ad hoc report requests.
Cross-cloud data architecture and delivery
Delivered marketing, CRM, telehealth, investment reporting, and compliance workloads across Azure, GCP, and AWS for healthcare, cruise, real estate, financial services, and marketing organizations — with data governance and regulatory requirements built in.
End-to-end platform delivery and handoff
Took engagements from assessment and target-state design through pipelines, governance, orchestration, and documentation — delivering production-ready platforms that replaced manual processes and improved operational efficiency, decision-making speed, and scalability.
Contact
Have a Databricks project that needs senior technical leadership?
Book 30 minutes to discuss the platform, the problem, and the constraints. I’ll tell you directly whether I’m the right fit and what the next step should be.
What we'll discuss
- Current Databricks footprint (workspaces, cloud, scale)
- The outcome you need and by when
- Who owns the platform today
Schedule
Book a 30-minute project discussion
- A 30-minute working conversation, not a sales call
- You describe the platform, the problem, and the constraints
- I tell you directly whether I am the right fit
- If it makes sense, we outline scope, timing, and engagement model
Scheduling opens in a new tab. A few short questions help me prepare.