Services
From strategy to scale.
Three tiers of engagement (THINK, BUILD, GROW) covering the full lifecycle of your data and AI investments.
Strategy
THINK
Set the direction. We align your data and AI ambitions with measurable business outcomes before a single pipeline is built.
Data & AI Strategy
We help you identify where data and AI create real business value, prioritize initiatives with the highest return, and build a roadmap that turns ambition into a practical plan of action.
Invest with confidence and know exactly what to build next. We work with CEOs and CTOs to turn 'we need an AI strategy' into a costed, sequenced roadmap grounded in your current data readiness and focused on the use cases with the clearest return.
Engineering
BUILD
Make it real. We design and ship the data foundations, pipelines, and models that turn strategy into working systems.
Cloud Architecture & Data Foundation
Modern, Snowflake-first data foundations designed for scale: from initial architecture through full migration, optimization, and ongoing governance on the world's leading data cloud.
Give every team one fast, scalable foundation to build on. We design and deliver cloud-native platforms on Snowflake, sized for the AI workloads you are planning rather than just the reporting you run today, with security and governance built in from the start.
Data Engineering & Pipelines
Reliable pipelines that bring together data from every source (APIs, databases, flat files) into a single, governed layer your teams can actually trust.
Stop chasing numbers across systems. We build automated, secure pipelines that pull every source (APIs, databases, flat files) into your warehouse reliably and on schedule, so your teams work from data they can trust and your AI workloads have clean, current inputs.
Analytics & Data Visualization
Beautiful, actionable dashboards built for the people who use them: from executive KPI views to deep operational reports in Snowsight and Streamlit in Snowflake, plus natural-language answers through Cortex Analyst and Snowflake CoWork.
Put answers in the hands of the people making decisions. We build the reporting and self-service layer natively in Snowflake: Snowsight dashboards and Streamlit apps for the views teams live in, with Cortex Analyst answering questions over your governed Semantic Views and Snowflake CoWork (the personal AI agent) letting business users explore and act in plain language, so anyone who needs insight can find it themselves, no waiting on the data team and no exporting to spreadsheets.
Embedded Analytics
Differentiate your product by embedding analytics directly into your applications and client workflows, making your platform smarter without lifting a finger.
Make analytics a feature your customers pay for. We embed dashboards and reporting directly into your applications, client portals, and partner interfaces, so the insight lives where users already work and your product stands apart from competitors.
Enablement
GROW
Compound the value. We help your teams operate, scale, and continuously improve what we build together.
Capability Development
We don't just deliver and walk away. We embed alongside your team, upskill your people, and build internal data capability that keeps growing long after the project ends.
Capability that outlasts the engagement. Our certified practitioners embed alongside your people, coaching through real delivery and building fluency at every level (from executive data literacy to hands-on tool training for analysts and engineers) so your team keeps improving on its own.
The Snowflake stack
Built on Snowflake, delivered end-to-end.
We own the full journey, from architecture and ingestion to governed analytics and AI, on a single, scalable Snowflake foundation. No hand-offs, no fragmented stack.
- Cloud-native architecture designed around your data, not a template
- Automated, observable pipelines with built-in data quality checks
- Governed, role-based access and cost controls from day one
- Production-ready models and dashboards your teams actually use
Why now
The data leaders of the Americas are already moving.
AI advantage compounds. The teams putting a governed data foundation in place now are the ones shipping Cortex-powered products, while everyone else is still arguing about tooling.
Outcomes we target
What engagements aim to deliver
Outcomes we target, shaped by the engagement and the goals we agree up front.
Business impact
What changes, and when
A practical view of the value an engagement returns: by horizon, not by feature list.
Foundations & first value
A governed Snowflake foundation stood up, priority data flowing, and the first production dashboards live: value from sprint one, not after a year-long build.
Scale & self-service
Analytics and AI use cases rolled out across teams, self-service adopted, and manual reporting retired: decisions run on current, trusted numbers.
Compounding advantage
New use cases shipped in weeks, run cost tuned, and a team fluent enough to keep extending it on their own: data and AI become a durable competitive edge.
How engagements run
Delivery you can govern
We de-risk the engagement itself (clear timelines, steering, and a clean hand-over) so the buy is as low-risk as the outcome is high.
A fixed 8–16 week arc
Most initial platforms reach production in 8–16 weeks, scoped to your data and use cases, with value delivered from the first sprint.
Steering & transparency
Regular steering reviews, a shared backlog, and clear decision gates keep sponsors in control of scope, budget, and priorities throughout.
De-risked by design
We prove the approach with a focused proof of concept before the full build, so you commit to scale on evidence, not a slide deck.
Built to hand over
Documentation, enablement, and a transition plan in every engagement, so your team runs and extends the work confidently.
Security and governance are built into every phase: see how we keep your data safe.
What we build on
The Snowflake-native stack we build on
We build natively on Snowflake end to end, leading with these products over third-party tools. One governed copy of your data, one lineage to audit, and trusted context every AI agent can rely on.
Snowflake
The single governed platform every layer runs on: one copy of your data, one place to secure, and one lineage to audit.
Openflow
Managed integration on Apache NiFi for batch and streaming, so every source lands governed without bolting on a separate ETL vendor.
dbt
Our transformation framework of choice, run natively against Snowflake for tested, documented, version-controlled models.
Snowpark
Python, Java, and Scala pipelines and UDFs that execute next to the data: no movement, no separate compute to secure.
Apache Iceberg
An open, governed copy of your data that stays portable and queryable by any engine, so you are never locked in.
Horizon Catalog
Lineage, access history, classification, and policy across your estate: the audit trail and trusted context AI depends on.
Cortex
LLM and ML functions that run securely beside governed data, from SQL-level calls to natural-language analytics.
Streamlit
Interactive data apps shipped right next to the data, so insight lands where people already work.
dbt is the one external framework we run, natively against Snowflake. Everything else is Snowflake-native, so governance and AI context stay in one place.
See the full Snowflake-native stack we build on
Explore the platform→How we work
Engagement models
Flexible ways to partner with us, matched to the shape of your problem, from a fixed-scope build to an embedded team or an ongoing managed service. Whichever you choose, the way we deliver doesn't change.
Fixed cost
A defined scope, timeline, and price agreed up front. Best when the outcome is clear and you want budget certainty from day one.
How it works: We scope the work in a short, paid discovery, then commit to a price and a date.
- Scoped statement of work
- Milestones with decision gates
- Change control if scope moves
Best for
Defined platform builds & migrations
Time & materials
Flexible, iterative delivery billed by effort against a shared backlog. Ideal for evolving requirements and discovery-led work.
How it works: We deliver sprint to sprint against a prioritized backlog you control.
- Prioritized, shared backlog
- Sprint demos & burn reporting
- Stop or pivot any sprint
Best for
Discovery, POCs & evolving scope
Team augmentation
Embed our certified practitioners alongside yours. We accelerate delivery while leveling up your in-house capability.
How it works: SnowPro-certified engineers join your team, tools, and ways of working.
- Certified, versed at every level
- Knowledge transfer built in
- Scale up or down monthly
Best for
Scaling an existing team fast
Managed & support
Ongoing run, optimization, and enhancement once you're live, so your data and AI keep paying off without a permanent in-house team.
How it works: A retained team monitors, tunes cost and performance, and ships enhancements.
- Monitoring & cost optimization
- SLAs and a named contact
- A roadmap of enhancements
Best for
Running & growing a live platform
Constant across every model
The model flexes. The standard doesn’t.
However you choose to engage, every Viewnear engagement is delivered to the same standard, the things that make the difference between a build that ships and one that stalls.
One certified team, versed at every level
One accountable team: the people who scope your work are the ones who deliver it.
Premier & CoCo Preferred Partner
A SnowPro-certified team and a verified, end-to-end Snowflake delivery track record.
Priced to outcomes
Scope and price agreed up front, whatever the model, so there are no surprises.
Governance built in
Security, lineage, and access control designed in from the first table, not bolted on.
Handover and enablement
Full handover, documentation, and enablement so your team runs it confidently.
Delivered across the Americas
Aligned to your region, data residency, and time zone, under one accountable partner.
One accountable team. Meet the leadership team →
What drives cost
Engagements are scoped on data volume and source complexity, the number of analytics and AI use cases, team size, and timeline. We agree scope and price up front (whichever model you choose) so there are no surprises.
Not sure which model fits? Tell us the problem and we’ll recommend one.
FAQ
Common questions
What Snowflake partner status does Viewnear hold?+
Viewnear is a Snowflake Premier Partner and a Snowflake CoCo Preferred Partner, with SnowPro-certified engineers and a verified, end-to-end delivery track record across the Americas.
What does a Premier Partner unlock for us?+
Co-sell alignment with your Snowflake account team, the option to procure Snowflake through us (consumption-based, so you pay for what you use), early access to new capabilities (Cortex, Openflow, Horizon Catalog, CoCo, and CoWork), and certified delivery on every engagement.
How does Snowflake pricing work, and can we buy it through Viewnear?+
Snowflake is consumption-based: you pay for the compute (credits) and storage you actually use, on one open platform. You can procure your Snowflake capacity through Viewnear for simpler commercial terms and account management under one accountable partner.
How long does a Snowflake implementation take?+
A typical initial production build runs 8–16 weeks, depending on data volume, source complexity, and the number of use cases in scope. We deliver value from sprint one.
How do you de-risk a large engagement?+
We prove the approach with a focused proof of concept before the full build, run regular steering reviews with clear decision gates, and hand over documentation and enablement so your team can run and extend it confidently.
Can you migrate our existing data warehouse to Snowflake?+
Yes. Migration is one of our most common engagements (Teradata, Oracle, Hadoop, SQL Server). We manage the full technical delivery and program governance.
How is an engagement priced?+
Engagements are scoped on data volume and complexity, the number of analytics/AI use cases, team size, and timeline. We agree scope and price up front and offer fixed-cost, time-and-materials, and team-augmentation models.
Do you publish standard pricing?+
No. No two platforms are the same, so we price to the work. Tell us your goals and constraints and we'll come back with a model, a plan, and a price.
How do you keep our data secure?+
We build on Snowflake's certified platform and extend it with least-privilege access, Horizon Catalog lineage and PII classification, Horizon Context so every person and AI agent works from the same trusted business context, data residency by region, and audit-ready controls, all configured to your sector.
Do you use third-party tools or stay native to Snowflake?+
We lead with the Snowflake-native stack (Openflow, Snowpark, Horizon Catalog, Cortex, Snowsight, Streamlit, plus the Snowflake CoCo coding agent and CoWork AI agent) so governance and AI context (Horizon Context) stay in one place. dbt is the one external framework we run, natively against Snowflake.
Customer feedback
The impact teams describe
Viewnear stood up a governed warehouse that replaced our manual regulatory reporting; month-end close went from three days to under two hours.
They consolidated five fragmented finance systems into one trusted source our team reports from every morning.
Viewnear turned scattered production and logistics data into dashboards our managers use to run the floor.
Let's make Snowflake do more.
Tell us where you are (migrating, scaling, or building AI) and we'll map the fastest path to value.