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Acmez Technologies Pvt. Ltd.

About Acmez Technologies

An enterprise technology company built on engineering discipline, security-first thinking and long client relationships.

About Acmez

Technology services built for enterprise impact

Consulting, engineering, cloud, security, digital growth, AI, data and managed operations.

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View All Services

Technology solutions for modern organisations

Transformation, applications, cloud, security, integration, operations and dedicated teams.

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Explore All Solutions

Acmez product catalogue

Enterprise suites, vertical SaaS platforms, connected modules and focused operations products.

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AI, Data & Intelligence

Data Architecture

Designing scalable cloud data architectures, data lakehouses, data mesh structures and enterprise data models.

Data Engineering & Platforms Service capability

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.

Data Architecture delivery workshop

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.

Questions & answers

Questions about Data Architecture

Cannot find what you need? Our team responds to technical and commercial questions within one business day.

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A data lake stores raw unstructured data, a data warehouse stores structured relational data, and a data lakehouse combines both with ACID transaction support.

Next step

Discuss data architecture with Acmez

Share what you need to change, build, integrate or support. We will map the practical next step.