TECKNOWORKS
Data Platforms
AI-Driven Data Platform Engineering

The data foundation AI demands.

AI is only as good as the data underneath it. Most enterprises discover mid-pilot that their data isn't AI-ready — fragmented, ungoverned, and slow. We build the modern data platforms that turn raw data into a reliable foundation for analytics, AI, and the decisions that depend on them.

25y
Production Systems
15+
Data Platforms Delivered
5
Quality Dimensions
24/7
Platform Operations
Where you start
Sound familiar?
Every data platform journey starts somewhere. We meet you where you are — and route you to the right first step.
🧭
We need a modern data platform.
Your data is fragmented across legacy warehouses, spreadsheets, and SaaS tools. Leadership wants AI, analytics, and self-service — but nobody trusts the numbers. You don't know where to begin.
→ We start with Data Value Discovery
🎯
We have a data initiative.
You've identified the platform you want — a lakehouse migration, a new warehouse, a real-time pipeline. You want honest validation of approach, tooling, and total cost before committing.
→ We go straight to Three-Lens Analysis
🔥
Our last data project stalled.
The migration ran over. Pipelines are brittle. Quality is poor. Adoption never happened. You need a candid look at what's salvageable and what needs rebuilding — before you commit more budget.
→ We run a Platform Autopsy
How we deliver
From first conversation to a running platform.
Five phases. Five quality gates. We don't move forward until each gate is passed.
🔍
Phase 01 · Assess
Three-Lens Analysis
1–2 weeks
Your platform is assessed through three lenses: Production (will it survive scale, governance, and cost?), Technical (which platform, which architecture, which integrations?), and Business (does the value justify the migration?). We map your source systems, data quality baseline, and the use cases the platform needs to enable.
You get: Source system inventory + quality baseline
+ Platform selection rationale (Fabric, Databricks, Snowflake…)
+ Go / no-go recommendation
📐
Phase 02 · Scope (conditional)
Build Blueprint
2–3 weeks
For larger platform builds, we validate the architecture with running pipelines before locking in a price. In the first week we ingest one real source, model one real domain, and prove the chosen platform on your data — not a vendor's slide. Then we lock target architecture, scope, and a firm fixed price.
You get: Working pipeline on real data
+ Validated target architecture + cost model
+ Firm fixed price, no scope creep
⚡
Phase 03 · Prove
Production Proof
6–8 weeks
The first production-grade domain live on the new platform. Ingest, transform, quality tests, lineage, governance, and access controls — all wired up. Real users querying real data. We prove the platform works end-to-end before we expand it to the rest of the organization.
You get: One domain in production
+ Data quality + lineage operational
+ Embedded knowledge transfer
🚀
Phase 04 · Deploy
Platform Rollout
3–6 months
Domain-by-domain rollout across the organization. Source migrations, consumer onboarding, governance frameworks activated, training, self-service enablement, and a defined support model with SLAs. Decommission of legacy systems only after parallel validation — no big-bang cutovers.
You get: Full platform at scale
+ Trained data + analytics teams
+ Legacy decommissioned safely
🛡️
Phase 05 · Operate
Platform Operations
Ongoing
Ongoing managed service: 24/7 monitoring of pipelines and quality, cost optimization, governance maintenance, capacity planning, and continuous platform evolution. If a pipeline breaks at 2 a.m., our phone rings — not yours.
You get: 24/7 platform reliability + SLAs
+ Cost optimization loop
+ Long-term operations partner
How we work
Six principles. Every engagement.
These aren't slogans. They're the operating rules that make data platforms actually pay off.
1
Embedded, not external
We work alongside your data team — not from a black box. When we leave, your people can run, evolve, and extend the platform.
2
Production mindset from Day 1
Quality, governance, cost, and observability are baked in from the first pipeline — not patched on after go-live.
3
Continuous knowledge transfer
KT happens every day — pair working, walkthroughs, runbooks. Not a "training week" you might run out of time for.
4
No surprises
You always know where we are, what's next, and what's at risk. We tell you before you wonder.
5
Anticipate, don't react
We surface schema drift, quality drops, and cost anomalies before they become incidents. Always one step ahead.
6
Ritz-Carlton touches
We celebrate milestones. We personalize communication. "Here's what's live for you" — not "here's what we did."
How we keep you safe
Five gates between you and a stalled migration.
We don't move forward until each gate is passed. Delays beat failures.
01
Discovery → Three-Lens
Source inventory captured, business use cases prioritized, stakeholder alignment confirmed.
02
Three-Lens → Build / Proof
Platform selected with rationale, target architecture agreed, gaps accepted, ROI defensible.
03
Blueprint → Build
Scope baseline locked with your sign-off. Firm build price with stated assumptions — no surprises.
04
Production Proof → Rollout
One domain live, quality + lineage operational, your team can explain and operate it.
05
Rollout → Operations
All domains migrated, SLAs defined, runbooks complete, your team can operate independently.
The rule: No phase transition without the gate passed. Delays are better than failures. We'd rather have a hard conversation now than rebuild a pipeline that should never have shipped.
How we work together
A rhythm you can count on.
"No surprises" is a meeting cadence. Here's how we keep you informed without burying you in meetings.
Daily
Daily Standup
15 min
Sync, blockers, today's focus.
Weekly
Weekly Progress
30 min
Status, risks, decisions needed.
Biweekly
Architecture Deep-Dive
60 min
Modeling decisions, integration progress.
Monthly
Executive Steering
60 min
Strategic alignment, value delivered.
Weekly · Internal
Platform Risk Review
Quality + cost scan
We surface issues early — before they hit you.
Ready to start?
Let's pressure-test your data strategy.
A 60-minute conversation is enough to know whether we're a fit and which entry phase matches your situation. No slides, no pitch — just a candid look at where your data is today and what's possible.
Book a conversation → Visit tecknoworks.com
What happens after that call
1
We route you to the right entry phase — Discovery, Three-Lens, or Platform Autopsy.
2
You receive a tailored proposal with scope, timeline, and a fixed price.
3
If it's not the right fit, we tell you. Honest answers beat sold answers.