Frame Strategy
Clarify priorities, constraints, and target outcomes.
Data Architecture
We design architecture decisions that stay coherent as organizations scale. As a Google Cloud and dbt partner, we align platform structure, governance, and delivery priorities.
Why it matters
Growth exposes weak architecture quickly. We define a durable target state for delivery speed and governance consistency.
Strategy Alignment
We translate strategic priorities into concrete architecture principles, domain boundaries, and implementation sequencing that teams can execute.
Governance by Design
Access control, data lineage, quality, and stewardship designed into the architecture from the start. Not added later when things break.
Scalable Trade-Offs
We document trade-offs and standardize critical components so your platform evolves without repeated redesign cycles.
Explore our solutions
We prioritize architecture challenges where governance, interoperability, and scale affect execution.
Platform Patterns
Select and evolve the right warehouse, lake, or lakehouse patterns by workload needs, reliability goals, and operating model maturity.
Processing Design
Design batch and streaming capabilities that balance latency, control, and cost for the decisions that matter most.
Semantic Foundations
Establish domain ownership and shared semantic standards so reporting, operations, and AI initiatives rely on consistent trusted logic.
Governance Operating Model
Define stewardship, access policies, and architecture governance routines so standards remain practical as adoption grows.
Solutions in practice
Luxury & Manufacturing
Building a cloud-native Data Architecture for enterprise scale
A global luxury group was migrating from an on-premise data warehouse to GCP, facing SAP data complexity, internal skill gaps, and low business engagement. Astrafy designed and built a modular data architecture on BigQuery and dbt, establishing data modeling standards, CI/CD practices, and governance principles from day one, delivering a scalable, AI-ready foundation for the business.
Our process
How we deliver
We run architecture as a practical decision program aligning scale, governance, and execution.
Design Target
Define target state, trade-offs, and priorities.
Set Standards
Establish governance patterns, ownership, and reference rules.
Govern Evolution
Run periodic reviews as needs evolve.
Our stack
Our preferred stack
We select technologies by governance scope, scalability, operating model, and cost.
dbt Core / dbt Cloud
Transformation and semantic modeling for consistent logic.
Google Cloud
Cloud infrastructure for secure, scalable data and AI workloads.
BigQuery
Warehouse layer for governed analytics and scalable processing.
Dataplex / Knowledge Catalog
Governance and cataloging for discoverability and trusted access.
Airflow / Composer
Orchestration for dependency, sequencing, and control.
Terraform
Infrastructure-as-code for repeatable standards across environments.
Looker
Governed BI and semantic modeling for consistent metrics.
Data Leaders
Make architecture choices that support growth and long-term capability.
Platform Leads
Use standards and patterns that reduce rework.
Governance Teams
Strengthen controls, traceability, and trusted foundations.
For companies needing delivery speed and governance consistency at scale.
Who this is for
Built for teams like yours
Our resources
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