Reference architectures, ELT frameworks, and CI/CD for data — designed before you commit, so your team ships faster with fewer incidents and no six-month technical debt.
Most platforms that become unmaintainable were never badly built — they were built without a target architecture to build toward.
Teams make local decisions that conflict at scale, with no blueprint to align to.
Every team picks its own ingestion, transformation, and orchestration tools — integration becomes the full-time job.
Pipelines and schema changes ship by hand, so every deploy is a risk and every rollback is a scramble.
Without data-quality checks and monitoring designed in, bad data is found by users, not tests.
Access control, lineage, and cost visibility added late are far costlier than designing them in from the start.
A senior architect designs the target state with you — documented, defensible, and ready for your team to build.
Understand the workload, constraints, cloud footprint, team skills, and the decisions already made — so the design fits reality, not a template.
Produce the reference architecture and data model: medallion/lakehouse layers, platform choice, and the trade-offs behind each decision.
Define the ELT framework (dbt / Airflow / ADF), CI/CD for data pipelines, and a data-quality + monitoring approach.
Deliver documentation, decision logs, and an architecture review your team can execute and defend without us.
Delivery — your team builds toward a clear target
Production incidents from design-time quality + CI/CD
A reference architecture that grows with the business
Decision logs you can defend in any review
Most run 2–4 weeks depending on scope — long enough to produce a defensible design, short enough to keep momentum.
Advisory delivers the design and framework. If you want it built, that flows into a Platform Build engagement or your own team executes it.
We are platform-agnostic. The recommendation comes from your workload, cloud footprint, team skills, and budget — not a default.
Yes — documentation, decision logs, and a walkthrough are part of the deliverable. The goal is a design you can own and defend.
Engagements are led by Amit Koti — 20+ years and 15+ cloud data projects, SnowPro Core and 2× Databricks certified. You get reference architectures proven in production, not whiteboard theory.
Book a call to discuss your initiative. We will outline a target architecture and the path to get there.
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