Data Warehouse & Analytics
Get your data ready for decisions and AI.
Data Warehouse and Analytics is a Managed Delivery POD engagement for pipelines, data modeling, and BI, including preparing your data for AI. Our data platform experience includes Databricks and Snowflake.
Our approach
Data first, then AI.
Sometimes the answer to an AI question is addressing the data first. We find out which before you spend heavily on either.
A POD led by a senior US engineer or CTO owns the work end to end, from pipelines to the reporting your leaders use.
What we offer
What Data Warehouse & Analytics covers
What it covers
Data pipelines
Batch and real-time ingestion and transformation.
Data modeling
Structuring your data for reporting, analytics, and AI.
BI and analytics
Dashboards and reporting on tools such as Looker, Tableau, Power BI, and Metabase.
Preparing data for AI
Data readiness and feature pipelines for AI and machine learning use cases.
Platforms
Snowflake and Databricks
Our data platform experience includes Snowflake and Databricks.
Cloud data warehouses
BigQuery, Redshift, and Postgres analytics replicas.
Pipeline tooling
dbt, Airflow, Fivetran, and Kafka.
How the team is structured
Senior US leadership
A senior US engineer or CTO leads every POD and acts as the single accountable owner for delivery.
A complete delivery team
Each POD includes a product manager, an AI architect, and QA, with senior engineers from the US and Latin America working in your business hours.
End-to-end backlog ownership
Work, handoffs, and coordination run through one accountable unit on a single sprint cadence.
Looking for something else?
How we work
How a POD engagement starts
Every POD follows the same onboarding plan, which targets a first delivery sprint within weeks 3 to 6, depending on backlog and codebase access.
Kickoff
We align on goals, scope, and team configuration, and name the product or engineering contact for backlog alignment.
- Goals and scope
- Team configuration
Codebase and architecture review
The POD lead reviews your codebase, environments, and architecture, and documents any gaps.
- Codebase access
- Architecture review
Backlog assessment
We work through the backlog with you, so grooming and prioritization point at what reaches customers.
- Documented backlog
- Priorities set
Team integration
The POD joins your sprint cadence and works alongside your engineers as one accountable unit, with performance on the same scoreboard as yours.
- Single sprint cadence
- Your business hours
Proof
Shaped by 60+ Client Engagements and 215+ Episodes With Software Leaders.
FAQ
Data Warehouse & Analytics FAQs
Building the pipelines, data models, and BI that turn your data into reporting the business can use. At Sonatafy, it is delivered by a Managed Delivery POD and includes preparing your data for AI.
Yes. Sonatafy's data platform experience includes Snowflake and Databricks.
Active delivery includes Snowflake, Databricks, BigQuery, Redshift, Postgres analytics replicas, dbt, Airflow, Fivetran, Looker, Tableau, Power BI, and Metabase.
Yes. Engagements range from data warehouse modernization to embedded analytics inside SaaS products to machine learning feature pipelines.
Yes. Sonatafy has delivered pipelines for both batch and real-time use, covering ingestion, transformation, and downstream serving.
Start with a complimentary AI Readiness & Value Snapshot to see where AI can create measurable value and whether your data is ready. When the data needs work first, a POD can build the pipelines and models to get it there.
A senior US engineer or CTO leads the POD and owns the outcome, with a product manager, an AI architect, and QA built into the team, and senior engineers from the US and Latin America.
You do. The client owns 100% of all code, configurations, documentation, and other work product created under the engagement.
Onboarding covers kickoff, a codebase and architecture review, a backlog assessment, and team integration, and targets a first delivery sprint within weeks 3 to 6, depending on backlog and codebase access.
Fee and scope are set in a scoping conversation. Snapshots are complimentary.
Next steps? You've got options.
Pick the path that fits where you are today.