4 advanced blocks
Structured progression focused on higher-order technical capability.
BXP Grow
Advanced Databricks Architecture and Scaling Program
Scale your Databricks impact through architecture and leadership
Grow is the advanced stage for active Databricks practitioners who want to deepen architecture, reusability, governance maturity, and technical influence across teams.
Built for advanced practitioners. Part of the wider BXP journey.
Capability Assets
Everything needed for scale, architecture, and mentoring maturity
Streaming, CDC, advanced DLT
Build deeper processing and automation workflows for evolving systems.
ML operationalization maturity
Move from ML experimentation to governed and reusable operations patterns.
Governance and FinOps depth
Apply lineage, controls, and cost-awareness at architecture level.
Mentoring and reusable frameworks
Build standards and assets that improve team-wide delivery consistency.
Higher-touch coaching
Use coaching to sharpen architecture decisions and leadership moments.
Why Grow
Move from strong delivery to high-leverage technical influence
Scale beyond individual delivery
Create reusable, sustainable patterns that support broader platform success.
Architect for complexity
Handle advanced pipeline, streaming, ML, and governance scenarios with confidence.
Increase technical leverage
Mentor others, shape standards, and influence delivery quality across teams.
Advanced coaching and reflection
Strengthen architectural judgment through coaching, milestone reviews, and peer discussion.
Who It Is For
For experienced practitioners expanding architecture and influence
Experienced Databricks Practitioners
Professionals already delivering who now want stronger architectural breadth.
- You can already deliver robust solutions
- You want scale and optimization depth
- You want to raise cross-team quality
Senior Data or Analytics Engineers
Practitioners deepening streaming, governance, and performance maturity.
- You need stronger architecture patterns
- You want reusable automation assets
- You want cost-aware platform decisions
Technical Leads in the Making
People moving toward mentoring and delivery standards ownership.
- You influence project patterns already
- You want stronger mentoring capability
- You want to standardize better practices
Advanced Consultants
Specialists needing stronger architecture and cross-team consistency in delivery.
- You support multiple delivery contexts
- You need reusable frameworks
- You want broader technical leverage
Not intended for beginners, business users, or practitioners still building core implementation foundations.
Curriculum
4 advanced blocks for scale, reusability, and cross-team value
Block 1
Platform Architecture and Scaling
Design for scale, cost-awareness, and platform maturity.
Deepen architecture choices and optimize large-scale patterns with stronger governance and FinOps context.
- Medallion architecture at scale
- Cluster/autoscaling strategy and tuning
- Z-ordering, caching, and optimization patterns
- FinOps and cost-control practices
- Architecture review scenarios
- Optimization and scaling tasks
- Platform cost-awareness exercises
- Architect more scalable solutions
- Apply cost- and performance-aware decisions
- Reason clearly about platform trade-offs
Block 2
Advanced Processing and Automation
Implement advanced and reusable real-time workflows.
Go beyond standard ETL with advanced DLT, CDC handling, schema evolution, and streaming resilience.
- Advanced ETL with DLT
- CDC patterns and schema evolution
- Structured streaming and checkpointing
- Parameterized notebooks and reusable components
- Advanced pipeline lab
- Streaming implementation task
- Reuse and parameterization challenge
- Build advanced DLT and streaming flows
- Handle evolving source patterns robustly
- Create reusable automation assets
Block 3
Machine Learning and Operationalization
Operationalize ML workflows with stronger maturity.
Move beyond experimentation into governed feature workflows and practical model deployment patterns.
- Advanced MLflow and model registry patterns
- Feature engineering with Delta Lake
- Deployment to batch and real-time endpoints
- Secure collaboration through Unity Catalog
- ML operationalization lab
- Deployment scenario walkthrough
- Feature workflow implementation task
- Structure mature ML workflows
- Deploy models more confidently
- Combine ML delivery with governance
Block 4
Governance, Mentoring, and Capstone
Create cross-team value through technical leadership.
Apply advanced governance, mentoring, and reusable delivery standards in a capstone with broader architectural relevance.
- Unity Catalog audit APIs and secure sharing
- Governance at scale and lineage maturity
- Mentoring and leading retrospectives
- Role development and technical coaching practices
- Governance scenario lab
- Mentoring and reflection exercises
- Final advanced capstone
- Apply advanced governance practices
- Mentor others more effectively
- Deliver a capstone with architectural leverage
Learning Experience
High-touch coaching for architecture and delivery reflection
Grow combines deep technical work with coaching and peer exchange to help advanced practitioners sharpen architectural decisions and increase cross-team delivery impact.
ArchitectBuildEvaluateReuseLead
Outcomes
What changes by the end of Grow
Before Grow
- Already delivering successfully in Databricks projects
- Strong implementation capability but limited architecture breadth
- Some influence, but not yet a consistent multiplier for others
After Grow
- Architect scalable and secure data/ML workflows
- Implement advanced DLT, CDC, and streaming solutions
- Apply governance, lineage, and FinOps with higher maturity
- Create reusable frameworks and influence cross-team quality
Why Grow
How Grow differs from generic advanced alternatives
Generic Advanced Data Courses
- Databricks specificity
- Architectural relevance
- Governance and FinOps depth
- Coaching and mentoring
Isolated Streaming or ML Courses
- Databricks specificity
- Architectural relevance
- Governance and FinOps depth
- Coaching and mentoring
Certification-Only Upskilling
- Databricks specificity
- Architectural relevance
- Governance and FinOps depth
- Coaching and mentoring
BXP Grow
- Databricks specificity
- Architectural relevance
- Governance and FinOps depth
- Coaching and mentoring
Social Proof
Trusted by practitioners stepping into broader technical influence
"Grow helped me move from delivering good solutions to shaping stronger patterns across teams."
Senior Data Engineer, Enterprise Tech"Architecture, reuse, and mentoring focus made this the right step after implementation training."
Analytics Engineering Lead, Retail"It treated Databricks maturity as both technical depth and influence leverage."
Technical Consultant, Professional ServicesFAQ
Common questions before applying to Grow
Who is Grow designed for?
Grow is designed for active Databricks practitioners with strong implementation foundations.
How much Databricks experience should I already have?
You should already have practical delivery experience and be ready for advanced architecture/scaling patterns.
Is Grow focused more on architecture or implementation?
It combines both, with a stronger emphasis on architecture, reusability, and delivery influence.
Will I work with streaming and advanced DLT patterns?
Yes. Advanced streaming, CDC, and DLT patterns are core parts of the program.
How important is coaching in this program?
Coaching is a core differentiator and supports architectural reflection and leadership growth.
Is Grow suitable for technical leads?
Yes. Grow is highly relevant for practitioners moving into technical leadership and standards influence.
What is the difference between Apply and Grow?
Apply focuses on robust implementation; Grow focuses on architecture, scale, and cross-team leverage.
What comes after Grow in the BXP path?
After Grow, learners can progress into Lead for organizational enablement and multiplication focus.
Next Cohort
Deepen your Databricks architecture and delivery maturity with Grow
Expand your impact beyond individual implementation and strengthen cross-team standards.
Coming soon
Talk to us about Grow