dataqbs dataqbs
SnowflakedbtPostgreSQLAzure

Data Strategy & Consulting

Sometimes you do not need more engineers — you need the right strategy. With 20+ years of hands-on data engineering experience across 10+ companies, we provide the technical leadership and strategic guidance that turns chaotic data environments into well-governed, cost-efficient, production-ready platforms. We offer architecture reviews, migration planning, data modeling consulting, team mentoring, and fractional CTO/CDO-level data leadership for organizations that need senior expertise without a full-time hire.

What We Deliver

  • Data architecture review and modernization roadmap
  • Migration planning: legacy to modern stack (SQL Server to Snowflake, on-prem to cloud)
  • Data modeling and dimensiónal design for analytics and reporting
  • Cost optimization: reduce cloud spend by 30-60% through architecture changes
  • Team mentoring and upskilling in modern data engineering practices
  • Fractional CTO/CDO data leadership for startups and mid-size companies
  • Data governance framework design and implementation

Technologies We Use

Snowflake

Snowflake

Cloud data platform — our recommended foundation for analytics workloads

dbt

dbt

Data transformation — version-controlled SQL, tested, documented

PostgreSQL

PostgreSQL

Battle-tested RDBMS — ideal for OLTP, hybrid workloads, and cost-sensitive projects

Azure

Azure

Enterprise cloud ecosystem — deep integration for Microsoft-centric organizations

Why dataqbs for Data Strategy

We have been the data person in the room at 10+ different organizations — from a 2-person startup to a 50,000-employee multinational. We know what works because we have built it, broken it, and rebuilt it. Our consulting is not theoretical — every recommendation comes from real implementations, with real data, at real scale.

  • 20+ years of hands-on data engineering — we have seen every failure mode
  • 10+ companies across 7 industries — deep cross-sector pattern recognition
  • We mentor teams, not just deliver code — your organization grows with us
  • Trilingual delivery: English, Spanish, German — we work with global teams

Industries We Serve

Healthcare & Pharma Financial Services & Fintech Mining & Natural Resources E-commerce & Retail Startups & Scale-ups

Frequently Asked Questions

What is the difference between consulting and implementation?
Our consulting engagements focus on strategy: reviewing your architecture, creating a modernization roadmap, estimating costs, and mentoring your team. Implementation is when we build the actual pipelines, warehouses, and systems. Many clients start with consulting and then engage us for implementation, but you can also hire us just for the strategy.
How does fractional CTO/CDO work?
You get a senior data leader for a fraction of the cost of a full-time hire. Typically 10-20 hours per week, attending your standups, reviewing architecture decisions, mentoring junior engineers, and driving the data roadmap. Perfect for startups that need senior guidance but cannot justify a full-time C-level data hire yet.
Do you offer one-time architecture reviews?
Yes. Our architecture review service is a focused 1-2 week engagement where we audit your data stack, identify bottlenecks and risks, and deliver a detailed report with prioritized recommendations. Many clients use this as a starting point before committing to a longer engagement.

Ready to get started?

Sometimes you do not need more engineers — you need the right strategy.

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