Data Engineering
Databricks Data Migration for Mid-Market: A Step-by-Step Playbook
Introduction Most guides on this topic are written for enterprises with 30-person data engineering teams and dedicated platform architects. This...
Snowflake Consulting Services & Platform Architecture
Put cost controls and governance in place before your Snowflake Data Cloud starts to grow. GroupBWT’s senior architects assess readiness, design the platform, and support production operations around your business goals.
100+
software engineers
15+
years industry experience
$1B-$100B
client annual revenue range
Fortune 500
clients served
We are trusted by global market leaders
Snowflake Platform Readiness & Fit Assessment
GroupBWT starts each Snowflake consulting services company assessment with your technology, team capacity, and business goals. The official Snowflake Well-Architected Framework guides the review. It reveals where Snowflake fits, what needs preparation, and the likely investment.
What We Evaluate in Your Data Estate
The assessment covers your workloads, code, data quality, and expected costs.
- Workload & Performance Fit: We compare your reporting, analytics, and operational workloads with Snowflake’s architecture, including the response times your teams need.
- Code & Pipeline Compatibility: Automated diagnostics scan your code, SQL queries, and data workflows. The findings show what can move as-is and what needs adjustment.
- Data Quality & AI Readiness: We inspect data structure, documentation, and security controls. This shows whether analytics and AI tools can use the data safely and consistently.
- Total Cost of Ownership (TCO) & ROI Modeling: We estimate compute and storage costs, then connect expected consumption to the business case for each workload.
Three Clear Strategic Outcomes
GroupBWT’s Snowflake professional services consulting ends with one of these recommendations.
- Go (Full Implementation): Snowflake fits your workloads, security needs, and business case. We provide a phased rollout plan with timeline and cost milestones.
- Narrow Scope (Targeted Rollout): Snowflake fits selected use cases, such as executive reporting or a new customer portal, while other legacy systems need preparation. We define the first workload and the conditions for expanding it.
- Not Yet (Prerequisite Remediation): Undefined data ownership, unclassified sensitive data, or incompatible legacy code can make an immediate rollout a poor investment. We identify which gaps to fix before you spend on platform licenses.
Get Your Snowflake Readiness Roadmap
GroupBWT’s Snowflake consulting solutions assess your data, code compatibility, and estimated ROI before you commit the budget.
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Related Services for Snowflake Delivery
Choose the neighboring service that matches the deeper architecture, migration, integration, governance, analytics, or operating need.
Snowflake Migration Planning
Plan legacy mapping, migration waves, reconciliation, controlled cutover, and retirement as a dedicated Snowflake migration workstream.
Warehouse Architecture & Design
Map sources, models, access boundaries, and workload requirements before implementation.
Reliable Data Pipelines
Build and operate the ingestion and transformation flows that feed governed Snowflake data.
Governed Data Foundations
Define access, lineage, quality, and policy controls around trusted data products.
Trusted BI & Metrics
Unify source logic and metric definitions so dashboards report the same business result.
Enterprise Data Operations
Coordinate governance, integration, migration, and production data responsibilities across the wider estate.
Building a Modern Snowflake Platform from Scratch
A new platform gives you room to set the right data model, security controls, and cost limits before workloads arrive. GroupBWT’s Snowflake consulting and implementation services turn those decisions into a Snowflake environment ready for production analytics.
01
Decoupled Workload Architecture
Separate storage from compute resources so heavy data processing jobs never slow down executive BI dashboards.
02
Clean Medallion Blueprint
Structure data into Bronze, Silver, and Gold layers to deliver reliable, business-ready data marts for BI and AI tools.
03
Zero-Cost Instant Sandboxes
Spin up instant DEV and QA environments using Zero-Copy Cloning with zero additional storage costs.
04
Automated GitOps & Governance
Manage platform configurations as code (IaC) to reduce manual setup errors and keep every change traceable.
Connecting Your Enterprise Ecosystem to Snowflake
Late data from an ERP, CRM, partner API, cloud bucket, or event stream leaves reports out of date. GroupBWT’s Snowflake consulting and integration services connect those sources to Snowflake and protect downstream reports when source schemas change.
01/06
01/06
Building a Governed, Audit-Ready Data & AI Ecosystem
A new analytics or AI workload also gives another person or service access to the data. We configure Snowflake Horizon controls for access, classification, lineage, and quality. Teams can trace changes and enforce policy before data enters a report or model.
Governance & Security Pillar
Snowflake Native Architecture & Controls:
Business Value & Risk Reduction:
RBAC as Code & Access Management
We encode four role layers - object, composite, functional, and user - with future grants and SCIM identity syncing.
Those rules apply account-wide. Least-privilege access can cut unauthorized access risk by as much as 85%.
Automated Data Classification & Masking
Snowflake Horizon finds PII and tags its objects; policies at schema and table level mask values or restrict rows.
PII, PHI, and PCI stay protected without duplicate tables or query-by-query controls.
End-to-End Lineage & Auditability
To rebuild column-level lineage, we combine ACCOUNT_USAGE query history with OpenLineage feeds, dbt models, and BI logs.
When an upstream schema changes, teams can identify affected reports in seconds rather than trace dependencies for hours.
Native Data Quality via Metric Functions (DMFs)
Scheduled Data Metric Functions (DMFs) run inside Snowflake, checking completeness, uniqueness, and freshness. Event Tables retain every result.
Bad data is quarantined before executives or AI models rely on it.
Unified Semantic Layer for AI & BI (OSI Standard)
Horizon Context and Open Semantic Interchange (OSI) specifications give each metric one definition for BI tools and Cortex AI.
Power BI, Tableau, and AI agents then use the same business metric definitions.
AI-Ready Data & Autonomous Agent Security
We check whether data is clean, contextual, consumable, current, correlated, and compliant. Agent Identity and Trust Center monitor what happens next.
Every AI agent has a verified identity and an action record, limiting exposure to prompt injection and data leaks.
Compliance & Intent-Driven Governance
Intent-Driven Governance turns written policies into tag-based controls, then checks whether the controls drift.
Auditors get traceable evidence for GDPR, HIPAA, and SOC 2 controls, with less remediation work left for the team.
RBAC as Code & Access Management
Snowflake Native Architecture & Controls
Business Value & Risk Reduction
Automated Data Classification & Masking
Snowflake Native Architecture & Controls
Business Value & Risk Reduction
End-to-End Lineage & Auditability
Snowflake Native Architecture & Controls
Business Value & Risk Reduction
Native Data Quality via Metric Functions (DMFs)
Snowflake Native Architecture & Controls
Business Value & Risk Reduction
Unified Semantic Layer for AI & BI (OSI Standard)
Snowflake Native Architecture & Controls
Business Value & Risk Reduction
AI-Ready Data & Autonomous Agent Security
Snowflake Native Architecture & Controls
Business Value & Risk Reduction
Compliance & Intent-Driven Governance
Snowflake Native Architecture & Controls
Business Value & Risk Reduction
Maximizing Platform Performance While Controlling Cloud Spend
We build cost controls and performance tuning into your Snowflake architecture. This keeps workloads responsive and cloud consumption predictable as the platform scales.
01/07
01/07
Snowflake Operations & Governance Stack
Operations & Observability
Operational telemetry and alert routing expose failures before they reach downstream reports.
360° Observability & Telemetry
Event Tables and OpenTelemetry expose query, UDF, and pipeline behavior
Proactive Alerting & Response
Snowflake Alerts route operational warnings into the response workflow
Resilience & Production Operations
Recovery controls and named response ownership keep data flows supportable when sources or schedules change.
Source-Change Pipeline Resilience
Retry and replay controls recover late or changed source data without rebuilding the entire load
Flexible Co-Managed Operations
Service objectives, handoffs, and escalation protocols assign each production issue to the responsible team
Enablement & Continuous Governance
Versioned platform definitions, runbooks, and architecture reviews support repeatable handover and controlled change.
Structured Team Enablement
Infrastructure definitions and operating runbooks give your engineers a reproducible platform record
Continuous Architectural Reviews
Periodic architecture reviews surface security, cost, and performance changes as workloads grow
Our Cases
Our Awards and Partnerships
What Our Clients Say
What do you like best?
Their deep understanding of our needs and how to craft a solution that provides more opportunities for managing our data. Their data solution, enhanced with AI features, allows us to easily manage diverse data sources and quickly get actionable insights from data.
What do you dislike?
It took some time to align the a multi-source data scraping platform functionality with our specific workflows. But we quickly adapted and the final result fully met our requirements.
What do you like best?
It was incredible how they could build precisely what we wanted. They were genuine experts in data scraping; project management was also great, and each phase of the project was on time, with quick feedback.
What do you dislike?
We have no comments on the work performed.
What do you like best?
GroupBWT is the preferred choice for competitive intelligence through complex data extraction. Their approach, technical skills, and customization options make them valuable partners. Nevertheless, be prepared to invest time in initial solution development.
What do you dislike?
GroupBWT provided us with a solution to collect real-time data on competitor micro-mobility services so we could monitor vehicle availability and locations. This data has given us a clear view of the market in specific areas, allowing us to refine our operational strategy and stay competitive.
What do you like best?
The company's dedication to understanding our needs for collecting competitor data was exemplary. Their methodology for extracting complex data sets was methodical and precise. What impressed me most was their adaptability and collaboration with our team, ensuring the data was relevant and actionable for our market analysis.
What do you dislike?
Finding a downside is challenging, as they consistently met our expectations and provided timely updates. If anything, I would have appreciated an even more detailed roadmap at the project's outset. However, this didn't hamper our overall experience.
What do you like best?
GroupBWT excels at providing tailored data scraping solutions perfectly suited to our specific needs for competitor analysis and market research.
What do you dislike?
Given the complexity and customization of our project, we later decided that we needed a few additional sources after the project had started.
What do you like best?
What we liked most was how GroupBWT created a flexible system that efficiently handles large amounts of data. Their innovative technology and expertise helped us quickly understand market trends and make smarter decisions.
What do you dislike?
The entire process was easy and fast, so there were no downsides.
What do you like best?
Their deep understanding of our needs and how to craft a solution that provides more opportunities for managing our data. Their data solution, enhanced with AI features, allows us to easily manage diverse data sources and quickly get actionable insights from data.
What do you dislike?
It took some time to align the a multi-source data scraping platform functionality with our specific workflows. But we quickly adapted and the final result fully met our requirements.
What do you like best?
It was incredible how they could build precisely what we wanted. They were genuine experts in data scraping; project management was also great, and each phase of the project was on time, with quick feedback.
What do you dislike?
We have no comments on the work performed.
What do you like best?
GroupBWT is the preferred choice for competitive intelligence through complex data extraction. Their approach, technical skills, and customization options make them valuable partners. Nevertheless, be prepared to invest time in initial solution development.
What do you dislike?
GroupBWT provided us with a solution to collect real-time data on competitor micro-mobility services so we could monitor vehicle availability and locations. This data has given us a clear view of the market in specific areas, allowing us to refine our operational strategy and stay competitive.
What do you like best?
The company's dedication to understanding our needs for collecting competitor data was exemplary. Their methodology for extracting complex data sets was methodical and precise. What impressed me most was their adaptability and collaboration with our team, ensuring the data was relevant and actionable for our market analysis.
What do you dislike?
Finding a downside is challenging, as they consistently met our expectations and provided timely updates. If anything, I would have appreciated an even more detailed roadmap at the project's outset. However, this didn't hamper our overall experience.
What do you like best?
GroupBWT excels at providing tailored data scraping solutions perfectly suited to our specific needs for competitor analysis and market research.
What do you dislike?
Given the complexity and customization of our project, we later decided that we needed a few additional sources after the project had started.
What do you like best?
What we liked most was how GroupBWT created a flexible system that efficiently handles large amounts of data. Their innovative technology and expertise helped us quickly understand market trends and make smarter decisions.
What do you dislike?
The entire process was easy and fast, so there were no downsides.
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FAQ
How do we know if we need Snowflake Platform Consulting vs. a Data Migration service?
Choose our dedicated Data Migration Service when the main job is moving a legacy data estate from Teradata, Oracle, Hadoop, or SQL Server. It covers parallel runs and cutover controls.
Platform Consulting covers a different job. It may involve building a new platform, connecting SaaS or streaming sources, preparing data for AI agents, or correcting an expensive Snowflake account. GroupBWT designs the architecture, establishes FinOps controls, and sets up daily data operations.
What if we already have Snowflake deployed, but it’s running slow or costs are spiking unexpectedly?
You don’t need a full rebuild to fix performance or cost issues. We offer targeted Snowflake Remediation & FinOps Audits. The official Well-Architected Framework (WAF) and automated diagnostics focus our ACCOUNT_USAGE review on memory spillage, idle warehouses, active clones, and slow queries.
Within 2-3 weeks, you get a remediation plan ordered by urgency and expected impact. The first fixes target 20% to 40% of wasted credit consumption and the analytical queries your teams cannot afford to leave slow.
How do your architects conduct readiness assessments without exposing our sensitive business data or PII?
Our Readiness & AI-Ready Data Assessments use read-only metadata. We inspect system views (ACCOUNT_USAGE, INFORMATION_SCHEMA), object tags, and masking policies. We never read, copy, or extract a row of business data.
In restricted environments, the assessment scripts run inside your network boundary through CLI agents. The metadata stays under your control.
How does your team collaborate with our in-house engineers to prevent long-term vendor lock-in?
Your engineers work with us while we keep the platform configuration as Infrastructure as Code (IaC) in your Git repositories.
During the engagement, we pair with your data engineers and teach the practices covered by SnowPro Architect standards. We also document operating procedures in runbooks. At handoff, your team owns the codebase and can run the platform independently.
How does Snowflake Consulting prepare our existing data for Enterprise AI and LLM workloads?
Enterprise AI needs consistent data definitions and access rules before an LLM can use the data safely. GroupBWT prepares your Snowflake environment with Snowflake Horizon Context, Data Metric Functions (DMFs) for quality checks, and the Open Semantic Interchange (OSI) standard.
You have an idea?
We handle all the rest.
How can we help you?