Certified Snowflake engineers who design, migrate, and optimise your data warehouse. Company-wide Snowflake Partner accreditation — certified engineers on every engagement, not just the pitch.
★★★★★ 5.0 on Clutch/Snowflake Partner/Certified engineers on every project
From first-load migration to cost-optimised, governed data platforms that analytics teams actually trust.
Architect Snowflake environments fit for your data volumes, query patterns, and team structure. Migrate from on-prem, Redshift, BigQuery, or Synapse with zero data loss and minimal downtime.
Build a modular, version-controlled transformation layer with dbt Core or Cloud. Staging, intermediate, and mart layers with full lineage, tests, and documentation built in.
Identify expensive queries, rationalise warehouse sizes, implement clustering keys, materialisation strategies, and query result caching to cut costs without touching your logic.
Implement role-based access control, column-level masking, row-level access policies, and dynamic data masking using Snowflake's native governance features.
Bring ML and LLM capabilities directly into Snowflake using Cortex AI functions, Python Worksheets, and Snowpark — so your data stays in one place.
Plenty of vendors claim Snowflake expertise. Company-wide partner accreditation and certified engineers on every project — not just a badge in a footer.
Every Snowflake project is staffed with certified engineers. We don't put one certified person on the pitch and swap them out for generalists.
We build pipelines, transformation layers, and ML-ready platforms — not just schemas and user grants. Snowflake is one tool in a complete data stack.
We architect with Snowflake credit consumption in mind from day one. Query efficiency and warehouse sizing decisions are part of every design review.
Dedicated Snowflake team, embedded engineers inside yours, or a fixed-scope build. We match the engagement model to your stage and structure.
Real data platforms built for analytics teams who need to trust what they're looking at.
Migrated six disparate data sources — core banking, CRM, payment processors, and third-party enrichment APIs — into a single Snowflake environment with a dbt transformation layer powering regulatory and executive reporting.
Designed a Snowflake-backed analytics platform where each customer can safely query their own data through a shared warehouse. Row-access policies and column masking ensure strict tenant isolation without schema-per-tenant complexity.
★★★★★They came in with a clear migration strategy, handled all the complexity of moving our legacy warehouse to Snowflake, and left us with a dbt layer our analysts can actually own.
Head of Data, Fintech
★★★★★The performance gains were measurable within the first week. Clustering key recommendations alone cut our biggest dashboard's query time from 40 seconds to under 3.
VP Engineering, SaaS
Flexible models whether you need a dedicated Snowflake team, embedded engineers, or a fixed-scope data warehouse build.
A cross-functional team of Snowflake architects, dbt engineers, data pipeline engineers, and analytics engineers working exclusively on your data platform. Best for companies building or rebuilding their core data warehouse.
Embed certified Snowflake engineers into your existing data team to accelerate delivery. They join your repo, standups, and sprint ceremonies and ramp quickly. Best for scaling capacity without a full hiring cycle.
Fixed-scope engagement covering migration, schema design, transformation layer, and governance setup. Delivered, tested, documented, and handed over. Best for well-defined warehouse projects.
From audit to handoff, no surprises at any stage.
Audit current data infrastructure, query patterns, ingestion sources, and reporting requirements.
Design Snowflake environment, warehouse strategy, data model, and transformation layer before any migration begins.
Pipeline engineering, schema migration, dbt model development, and incremental data loads.
Clustering, materialisation strategy, warehouse sizing, and credit consumption review.
Documented models, runbooks, and knowledge transfer so your team owns what we built.
Snowflake delivers the most value where data volumes are high, regulatory requirements are strict, or analytics teams need to move fast.
Whether you're migrating an existing warehouse, building your first analytics layer, or optimising a platform that's grown too expensive — we'll help you define the right architecture before any code is written.
Hello, we are BRILLIAN’S. Trying to make an effort to put the right people for you to get the best results. Just insight !
