DXP dbt eXperience Program
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DXP — DBT eXperience Program

From analyst to dbt lead in 36 weeks.

A blended dbt Core learning journey across three certification-aligned modules: Ignite, Apply, and Lead.

Build analytics engineers who know your warehouse, your data, and your standards.

Explore the 36-week path Start cohort design
dbt build --select cohort_path+
source.orders
stg_orders
int_revenue
mart_finance
tests + docs
CI/CD
01 Ignite 02 Apply 03 Lead

Why dbt — and why a program?

dbt is the transformation standard. Analytics engineers are still hard to hire.

DXP closes the gap between SQL analyst and production-ready analytics engineer through cohort learning, real project work, certification alignment, and internal multiplication.

30k+ companies running dbt

dbt has become the de-facto standard for the transformation layer of the modern data stack.

1/3 hardest roles to hire

Analytics engineers fluent in SQL, Git, and modeling remain scarce on the open market.

12 weeks to first impact

A structured cohort reaches usable project output faster than self-study.

The DXP journey

36 weeks. Three modules. Twelve blocks.

DXP translates the proven BXP cohort model to dbt Core: blended learning, labs, self-paced work, real capstones, and certification-aligned progression.

Weeks 1-12

01 Ignite

Analyst to confident dbt practitioner.

  • Foundations and quick start
  • Modeling and materializations
  • Trust through tests, freshness, and docs
  • Ship an end-to-end dbt project
Outcome: pass dbt Fundamentals.

Weeks 13-24

02 Apply

Practitioner to certified Analytics Engineer.

  • Jinja, macros, packages, hooks, and operations
  • Dimensional modeling, snapshots, and SCD2
  • CI/CD, slim CI, promotion, and orchestration
  • Performance, observability, contracts, and SLAs
Outcome: own a production domain pipeline.

Weeks 25-36

03 Lead

Analytics Engineer to dbt lead and multiplier.

  • dbt Mesh and multi-project architecture
  • Governance, quality strategy, and project audits
  • Internal packages, macro libraries, and scaffolding
  • Architecture reviews, PR coaching, and cohort facilitation
Outcome: earn DXP Multiplier.

Audience

Designed for the analyst becoming an engineer.

Entry

Analyst with SQL

  • Comfortable writing SQL against a warehouse
  • Basic Git literacy: clone and commit
  • Owns reports or dashboards but ships transformations through tickets
  • Curious about modeling, without formal dbt exposure
36 weeks

Exit

dbt Lead & Multiplier

  • Designs dbt project architecture for a domain or organization
  • Owns CI/CD, governance, contracts, and quality strategy
  • Mentors analytics engineers and reviews PRs
  • Runs internal cohorts as a certified DXP Multiplier

Outcomes

Every module ends with proof.

Module Certification Proof of work
Ignite dbt Fundamentals · dbt Labs End-to-end dbt project shipped on a real dataset
Apply dbt Analytics Engineering Certification · dbt Labs Production-grade domain mart with CI/CD
Lead DXP Multiplier · Ultratendency Academy Design a dbt practice and deliver a workshop to the next cohort
dbt Core SQL modeling Git + PRs CI/CD dbt Mesh Multiplier model

Next steps

Let's run your first DXP cohort.

Three short steps from this conversation to a running cohort.

01

Discovery workshop

Two hours with stakeholders to confirm entry persona, warehouse, and target outcomes.

02

Cohort design

Tailor the 36-week journey to your stack: Postgres, Snowflake, BigQuery, Redshift, or Databricks SQL.

03

Pilot cohort

Run Module 01 with 6-12 learners. Measure, refine, and scale to Modules 02 and 03.

Start now

Build your internal dbt bench with a structured cohort

Talk to us about DXP