The Expert Role
We own the result, accept responsibility, and execute the action plan. Technical control rests with us — you stay responsive while we solve the problem.
Data consulting · North America
Databricks, Snowflake, and AI data engineering
We build the lakehouses, warehouses, and AI-ready data platforms that your analytics and AI products run on — then hand them over to a team that can keep them running.
15+ years building data platforms and data teams across North America.
Platforms we work with
Databricks · Snowflake · AI
Your data. Our skills.
Rock Your Data is a data consulting firm. We design and build cloud data platforms on Databricks and Snowflake, engineer the AI-ready data layer behind generative-AI products, and grow the teams that own them.
We are vendor-neutral by design. We work across Databricks, Snowflake, dbt, AWS, Azure, and Google Cloud, so the recommendation you get is the one that fits your workloads — not the one we happen to resell.
Learn more about us What we do
Our services
Databricks Consulting
- Lakehouse and medallion architecture on Delta Lake
- Unity Catalog governance and access control
- Spark job and DBU cost optimization
Snowflake Consulting
- Implementation and migration to Snowflake
- dbt modeling, testing, and CI/CD
- Warehouse sizing and credit cost optimization
AI Data Engineering
- AI-ready data: unstructured ingestion and vector search
- RAG, NL-to-SQL, and analytics copilots
- Evaluation, guardrails, and cost control
Cloud Data Platforms
- Platform architecture and reference design
- High-throughput batch and streaming ingestion
- Orchestration, CI/CD, and data observability
High-Performance Data Teams
- Hiring strategy and technical interviewing
- Onboarding, standards, and ways of working
- Upskilling and leadership coaching
Start small
Fixed-scope assessments
Not ready for a full build? Start with a short, fixed-scope engagement. You walk away with a plan you can act on — with us or without us.
2 weeks
Snowflake Cost Audit
We trace your Snowflake spend down to warehouse, query, and team, then give you a ranked list of fixes with the expected saving on each.
- Credit spend broken down by warehouse, workload, and team
- Ranked optimization backlog with estimated savings
- Quick wins applied during the engagement
2-3 weeks
Databricks Assessment
An architecture, governance, and cost review of your Databricks workspace, ending in a prioritized action plan you can execute with or without us.
- Lakehouse architecture and Unity Catalog review
- DBU cost baseline with tuning actions
- Prioritized roadmap with effort and impact
3 weeks
AI Readiness Assessment
We check whether your data can actually support the AI features you want, and tell you what has to be built first.
- Use-case shortlist scored on value and feasibility
- Gap analysis of your data, semantics, and governance
- Reference architecture and delivery plan for the first build
3-4 weeks
Platform Migration Plan
A migration plan you can budget against — target architecture, sequencing, cutover approach, risks, and cost.
- Target architecture with the trade-offs written down
- Phased migration plan and cutover runbook
- Cost model for the target platform
Proof
Selected projects
Platforms we have built at Amazon, Microsoft, and across North American SaaS, telecom and fintech — team setup, architecture and all.
E-commerce marketplace · 400 employees
Oracle Data Warehouse to AWS Redshift
AbeBooks (an Amazon subsidiary)
Migrating a marketplace off Oracle, PL/SQL and Crystal Reports onto Redshift and Tableau.
Amazon Redshift Matillion ETL Tableau AWS EMR
+4 more
Read the project
Consumer technology · internal data products Product Analytics for a Voice Assistant
Amazon Alexa — Natural Language Understanding
Replacing manual CSV extracts with an automated Redshift and Tableau product analytics stack.
Amazon Redshift Redshift Spectrum Tableau Amazon SageMaker
+1 more
Read the project
E-commerce · machine learning Feature Engineering for Machine Learning
Amazon Retail
Building ML feature pipelines from a core data lake — with no warehouse, no data model and no dashboards.
Apache Spark Scala AWS EMR Amazon S3
+3 more
Read the project
Engagement models
How we interact
The Pair-of-Hands Role
You leverage us as an extra pair of hands. You define the goals and the plan, retain full control, and we execute against it.
The Collaborative Role
Your domain knowledge meets our specialized skills. We don't just solve problems for you — we equip your team to solve them together.
Let's talk about your data platform
Tell us what you are working on. We reply within one business day, and we will tell you plainly if we are not the right fit.
Empower your data career with Surfalytics 🏄
Join a community built for data enthusiasts and professionals passionate about advancing their careers and achieving their goals.
- Exclusive content & resources
- Expert-led workshops
- Project showcases
- Networking opportunities
