AI, Data & Intelligence
Data Architecture
Designing scalable cloud data architectures, data lakehouses, data mesh structures and enterprise data models.
Capability overview
What data architecture involves
Data architecture provides the structural blueprint for how data is ingested, processed, stored and queried across an enterprise. We design scalable cloud data architectures, data lakehouse systems and domain-driven data mesh structures.
We build flexible data models that support batch processing, real-time streaming, ad-hoc querying and machine learning workflows.
Our data architects ensure data pipelines deliver high performance, low storage costs, strict data security and high availability.
Throughout the data architecture engagement, our engineering team works alongside your internal stakeholders to establish custom operational workflows, clear delivery milestones and automated validation gates. We focus on cloud data lakehouse architecture and data mesh & domain architecture, ensuring that every component is documented, secure and aligned with your broader technology strategy. Furthermore, we establish continuous telemetry monitoring and iterative optimization roadmaps specifically tailored for your data architecture infrastructure and conceptual & logical modeling requirements.

What is included
What the engagement covers
Cloud Data Lakehouse Architecture
Designing unified data lakehouse platforms using Databricks Delta Lake, Snowflake or Apache Iceberg.
Data Mesh & Domain Architecture
Structuring decentralized data mesh architectures with domain-owned data products and federated governance.
Conceptual & Logical Modeling
Building enterprise dimensional data models (Kimball star schema, Data Vault 2.0) for reporting and analytics.
Storage & Compute Separation
Configuring decoupled cloud storage and compute architectures to optimize performance and infrastructure costs.
How we work
How we deliver data architecture
Data Requirements Analysis
Analyzing transactional data volumes, query patterns, latency requirements and compliance rules.
Architecture Blueprinting
Drafting end-to-end data architecture diagrams detailing ingestion, storage, transformation and serving layers.
Technology Stack Selection
Selecting cloud storage, query engines, orchestration tools and data cataloging platforms.
Prototype & Benchmark
Building a technical prototype to benchmark query speeds, ingestion throughput and cloud compute costs.
Architecture Specification Handover
Delivering documented architecture standards, data modeling guidelines and deployment scripts to data engineering teams.
Related capabilities
Related capabilities in Data Engineering & Platforms
Data Engineering
Engineering reliable data pipelines, automated data transformation workflows and enterprise data platform integrations.
Data Pipeline Development
Custom batch and real-time data pipeline development, workflow orchestration and data stream integration.
ETL Development
Extract, Transform, Load (ETL) pipeline development, legacy data transformation and data warehouse ingestion.
ELT Development
Extract, Load, Transform (ELT) architecture using dbt, Snowflake, Databricks and BigQuery for cloud data warehousing.
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Where this applies
Healthcare & Life Sciences
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Manufacturing & Industrial
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Banking, Financial Services & Insurance
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E-Commerce
Digital platforms for customer experience, operations, commerce, content, marketing and service…
Questions & answers
Questions about Data Architecture
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionA data lake stores raw unstructured data, a data warehouse stores structured relational data, and a data lakehouse combines both with ACID transaction support.
Data architecture design is quoted as a fixed-fee project based on data source count, storage volume and architectural complexity.
Data Mesh decentralizes data ownership to domain teams, ideal for large organizations where centralized data teams become delivery bottlenecks.
Next step
Discuss data architecture with Acmez
Share what you need to change, build, integrate or support. We will map the practical next step.