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 Data Lake Architecture and Build Services

Why a Cloud-Native Data Lake is the Key to Reliable Reporting and Scalable Integrations

A well-architected data lake acts as the calm centre of your digital ecosystem, bringing together structured, unstructured, real-time, and batch data into one central hub.

By standardising, enriching, and consolidating information from CRMs, finance systems, marketing platforms, and spreadsheets, a data lake reduces silos and duplication, delivers faster and more accurate reporting, and creates a trusted “golden record” your whole business can rely on. 

With this foundation, you can easily plug in or remove third-party tools without breaking workflows — keeping your tech stack flexible while ensuring every decision is backed by reliable, up-to-date insights.

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What is the process for with building a data lake?

Our data lake architecture services follow a proven process to ensure your platform is secure, scalable, and designed for your business needs:

Assess the stack — We review your current systems and confirm whether a data lake is the right fit, so you invest only where it adds value.

Architect the solution — Together we design the best structure using Databricks, Snowflake, AWS, or Google Cloud, tailored to your goals.

Build and enable — We implement pipelines, transformations, and integrations, with reporting layers that make insights accessible to your teams.

Handover and empower — With documentation and training, we ensure your team can manage, adapt, and scale the lake confidently long-term.

Data Lake expertise that delivers more than infrastructure.

At Engaging.io, we don’t just build data lakes — we design ecosystems that give you cleaner reporting, smarter insights, and a future-proof foundation for growth.

As a certified Databricks partner and HubSpot Elite Partner with proven expertise across Snowflake, AWS, and Google Cloud, we deliver secure, scalable architectures tailored to your business. What sets us apart is enablement: we empower your team with the tools, documentation, and training to own and evolve your data lake long after go-live.

Data Lake Platforms We Support:

Databricks — Intelligent pipelines, transformations, and machine learning at scale.

Snowflake — Secure, lightning-fast cloud warehousing with powerful query performance.

AWS & Google Cloud — Flexible, scalable hosting options that grow with your business needs.

HubSpot & CRM integrations — Connect customer data directly into your data lake for richer reporting and segmentation.

Frequently asked questions

"We were up against really aggressive build and deployment plans and Engaging were sensational in how they were able to team with us and help us along the way. We were able to get a customised CRM that really supported the re-launch of our global business. Highly recommend the team at Engaging."

Dylan Price-Brennan
Technical Director, Alta

Tailored to your brand, audience and needs.

Every portal we build is custom-designed for your users, your brand, and your operational reality. That includes:

Intuitive UX and UI design aligned with your identity

Custom dashboards for members, admins, and stakeholder

Granular access controls and secure login flows

Integrations with CRMS, ERPS, inventory, payment platforms and more

Mobile-first, responsive design

Admin panels for internal teams to manage users and content

Documentation and support? Always.

We don’t vanish after go-live. Every portal includes:

Documentation for both users and admins

Team training tailored to tech literacy

Ongoing support options, so you can grow with confidence

Smart rules. Human review. Documented outcomes.

This isn’t a find-and-replace job. We use a combination of automated tools and manual review to flag edge cases, apply business logic, and give you a verified, usable dataset, backed by documentation your team can trust and build on.

And if needed, we’ll put guardrails in place so things stay clean, like field validations, dedupe automations, and team training to reduce input error.

 

 

Ready for a single source of truth? Let’s architect your data lake.