Data Architecture & Engineering

Data Architecture & Engineering Services

Merakāta understands that data architecture and data engineering create a foundation for driving business value using organizations’ data assets. We design and develop scalable, resilient enterprise data solutions that transform how organizations store, process, and leverage data. Our team delivers solutions that evolve with business needs.

  • Merakāta develops multi-level target state blueprints to establish enterprise-wide design patterns, guidelines, and guardrails. This establishes business architecture, drives organizational adoption, and enables incremental delivery and structured application development.

    Our Enterprise Architecture services include:

    • Domain Driven Design based methodology

    • Business information model and systems of record

    • Re-usable enterprise design patterns

    • Data-first application architecture

    • Enterprise data flows and dependencies

  • Merakāta rapidly delivers new business insights by designing and building enterprise platforms. Our solutions scale data integration and curate data products, providing end-users the ability to consume analytics through dashboards, APIs, and Gen A.I. solutions.

    Our Data and Analytics Platform services include:

    • Warehouse and Lakehouse data architecture (e.g., Medallion, Data Vault, Inmon, Kimball)

    • Platform technical architecture and engineering (e.g., Databricks, Snowflake, AWS, Azure, GCP)

    • Data pipeline design and development (e.g., ETL/ELT)

    • Platform performance optimization

  • Merakāta delivers operational efficiency improvements. We optimize data integrations between core business applications, minimize data silos, enable automated workflows, and scale system-to-system communication.

    Our Business System Integration services include:

    • Legacy system modernization

    • API integration

    • Data flow automation

    • Cross-platform synchronization

  • Merakāta architects and develops Master Data Management solutions for our clients’ customers, products, employees, vendors, and other critical master data domains. This foundational data ecosystem component is necessary for any data-driven organization and delivers sustained business value for operational efficiencies and new business insights.

    We find MDM is often overlooked as a core foundational data capability, leading to challenges achieving operational efficiency goals and developing high-value analytics (i.e., customer 360). Merakāta designs and develops end-to-end MDM solutions.

    Our MDM methodology includes:

    • Develop MDM strategy

    • Gather facilitated requirements

    • Define master data entities (e.g., customer, product)

    • Model complex data structures

    • Develop data access contracts (e.g., APIs)

    • Legacy-to-target state data migration

    • Enforcement of a data quality framework

    • Master data entity resolution (i.e., de-duplicate, merge records)

Case Study at a Glance

Read the full case study

Partner with us to design and develop scalable, resilient enterprise data solutions that evolve with your business needs.