Technology · Data Platform
Senior Data Architect
San Mateo, CAHybrid
$180–220K/ yr
Posted 3 days ago · 32 applicants
SnowflakedbtAI-augmented
Easy Apply
REASONLY · DATA ARCHITECTS TRACK · ENTRY PACK · $19
Become the data architect AI can’t replace.
Master the senior data architect role — one of the core positions in data engineering, where demand keeps growing for the next 3-5 years.
Dmitry Foshin — 13 years in production
co-author of 2 data-engineering books (Apress, Packt)
▶ Reasonly · The Pack trailer0:45
✓ Lifetime access · ✓ 30-day refund · ✓ Instant access
Senior Data Architect · Market Rates 2026
What do companies pay senior data architects in 2026?
Senior data architect is one of the highest-paid roles in data engineering. In the US — $150K–$260K. In Western Europe — €80K–€140K. In Eastern Europe and remote roles for international companies — $50K–$120K. Below — real open positions in this role.
Open positions right now.
Open positions on LinkedIn · Updated: May 2026
What unites these jobs: they all need an engineer who makes architectural decisions, not one who writes code. Most candidates fail the first interview because they talk about tools, not thinking.
The Pack is 4 lessons on how a senior data architect thinks — and how that thinking is taught with AI. Lesson 4 is specifically about presenting yourself for these roles.
Your Instructor
Here’s who’ll be your instructor in data engineering.
Dmitry Foshin — a working data architect and published author with Apress and Packt, bringing AI into production since early 2024.
Dmitry Foshin
Lead Instructor · Data Architects Track
- Co-author of 2 data-engineering books across 3 published editions (Apress, Packt)
- Using AI in production architecture since early 2024
- 13 years building production systems in FMCG, banking, and manufacturing
- Leads a distributed team across 5 time zones
- Works with senior data teams at Fortune 500 companies
Published books
Jumpstart Snowflake (Apress, 2020)
Edition for architects designing on Snowflake.
Azure Data Factory Cookbook · 1st Edition (Packt, 2020)
Reference on data pipeline patterns in enterprise.
Azure Data Factory Cookbook · 2nd Edition (Packt, 2024)
Updated for cloud-native and hybrid architectures.
All three available on Amazon and Apress/Packt libraries.
AI in production: what Dmitry actually did.
Most courses on AI are taught by people who learned about AI a year ago. Dmitry has been applying AI in real architectural work since early 2024 — ahead of most teams.
Examples of projects (company names withheld — clients under NDA):
→
FMCG enterprise data platform (2024–2025)
Architecture for a new sales-analytics warehouse with AI-augmented design sessions.
→
Banking real-time pipeline (2024)
Stream-processing system design with AI tools for documenting decisions and finding blind spots.
→
Manufacturing data mesh implementation (2025)
Restructuring data ownership using AI for governance documentation and onboarding new architects.
Curriculum
What’s inside the Data Architect Pack.
4 modules · Lifetime access · 30-day money-back
The Data Architect Pack is a deep-dive workshop from a 3× published architect, split into four modules for viewing convenience. One intensive, not a course. Watch it in an evening or stretch it across a week — your call.
Module 1
Mindset shift: from coder to architect.
AI is breaking the engineering ladder. On one side are the people who write code. On the other are the people who command AI and design the things AI alone can’t design. This module is about how to end up on the right side before 2027.
- →The new value hierarchy in engineering teams of 2026
- →Why "coder" is becoming a junior-level identity
- →Three mental shifts that separate architects from engineers
- →What companies actually buy when they pay a senior architect
Module 2
Decision framework: five questions before the first line of code.
A senior architect differs from a senior engineer not in volume of knowledge but in which questions they ask before designing. This module gives you the five questions AI won’t answer for you and the method for recording architectural decisions that survives scaling.
- →Five questions that shape every architectural decision
- →The Decision Anchor method — how to lock down decisions with trade-offs
- →How to translate business chaos into clear architectural requirements
- →Real example: walking through an architectural decision from an FMCG project
Module 3Core of the Pack
AI-augmented workflow: live demo on a real task.
Most AI courses are taught by people who discovered AI a year ago. This module is a recording of Dmitry working live, designing a production system with Claude and Cursor. This is what people buy the Pack for — to see how an architect who’s been using AI in production since 2024 actually works.
- →Full cycle of an architectural decision with AI as a partner, not as a code generator
- →Where AI accelerates 10× and where it gets in the way — on concrete moments
- →12 prompts Dmitry actually uses in his work, walked through on a real task
- →How to catch AI's mistakes before they reach production
- →The Augmented Architect Loop — a working cycle that scales to everyday work
- →How to document architectural decisions alongside AI so they can be defended to business stakeholders
Module 4
Senior interview playbook: how to present architectural thinking.
Most strong engineers fail their first senior architect interview — because they talk about tools instead of thinking. This module is about repackaging your experience into the language EU/US companies understand in 2026.
- →The questions actually asked at senior architect interviews in EU and US in 2026
- →How to talk about AI on your résumé without sounding like "another guy with Copilot"
- →Three classic mistakes that kill interviews at senior level
- →How to position 5-7 years of experience as "senior-ready"
- →Salary negotiation script for the senior range
Modules 1–3 are about how a senior architect thinks. Module 4 is about turning that thinking into a job offer.
Read this before buying
Who the Data Architect Pack is for — and who it isn’t.
The Data Architect Pack works for three groups: seniors with 5–10 years of experience, strong-middle engineers with 3–5 years, and ambitious juniors with 1–3 years. It’s harder for those who haven’t worked with production code yet. It’s not for those looking for tool tutorials or expecting a ready-made job placement.
The Pack is for you if you are —
✓
Senior with 5–10 years of experience, feeling AI anxiety
You’ve already worked as an architect or senior engineer. You see AI rewriting the rules: junior roles disappearing, job descriptions getting reformatted, your years of experience becoming a less obvious currency. The Pack shows you how to repackage that expertise for the new market — from “senior who writes code” to “architect who commands AI.”
✓
Strong-middle who wants to skip levels
You’re 3–5 years into the industry. You’ve realized that “grinding years” toward senior doesn’t work anymore — classmates who jumped on AI early have lapped you in months. The Pack is a concrete path from middle to senior thinking, without waiting another 5 years for the market to crown you.
✓
Ambitious junior, ready to think like a senior
You’re 1–3 years into the industry or just out of a bootcamp. You see the junior market collapsing, and the classical “5–7 years to senior” path no longer works. You’re ready to skip ladder rungs through thinking + AI rather than waiting. The Pack is for you — but read the block below.
⚠
The Pack will work for you, but takes more effort, if —
→ You’ve just started your career or haven’t worked with production code yet.
The Pack teaches thinking, decision frameworks, and AI-augmented workflow. It’s not a programming tutorial. If you don’t yet understand what a production incident is, what a deployment pipeline looks like, or how a distributed system behaves at a basic level — some material will be hard to absorb on first pass, because you don’t have experience to map it to.
This doesn’t mean “don’t buy.” It means “buy, watch it, and expect some things to land on the second pass.” The Pack works for ambitious juniors — but as a map of the territory that becomes legible as you walk through it.
This is part of our mission: helping ambitious juniors become architects faster, not in the standard 5–7 years.
If you’re in this group — ask your voice question to Dmitry about where you should start. It’ll save you months.
The Pack isn’t for you if —
✗You're looking for tutorials on a specific tool. The Pack teaches thinking, not Snowflake/Spark/Airflow. If you're expecting "how to configure Kafka in 2 hours" — that's a different product.
✗You expect $19 to replace years of experience. Senior is still years of work, including production incidents at 3 AM. The Pack accelerates the path; it doesn't bypass it.
✗You're waiting for job placement on a silver platter. We don't guarantee an offer — nobody honestly does. But we materially move your odds: fresh job openings, profile repackaging for senior level, interview breakdown, voice answers to your specific questions. The rest is your work.
✗You believe AI is about to replace all engineers. Then learning is genuinely pointless — but so is the Pack. Reasonly is built on the belief that AI changes engineering work, not that it ends it.
If you recognized yourself in one of the positive blocks — the Pack is for you.
Get the Data Architect Pack — $19 →To get the Data Architect Pack — click the button below.
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Two weeks after the Pack:
Tech lead · Monday 09:03
need to decide quickly — Snowflake or Databricks for the new project
You · 09:23
Decision Template
Context
New FMCG analytics project, 3 TB/yr, moderate concurrency
Options
Snowflake (existing licenses) vs Databricks (team skill gap)
Trade-offs
Snowflake: lower onboarding cost. Databricks: better ML pipeline later
Decision
Snowflake — leverage existing infra, revisit in 12 months
Risks
Vendor lock-in; revisit if ML use-cases grow above 20% of load
Owner
Lead architect (you) · Approved by: CTO
Tech lead · 09:27
great structure. Let’s go with that.
This is what being an architect feels like. This is what the Pack is for.
$350
$19
Lifetime access. One payment. No subscriptions.
Today the Data Architect Pack costs $19. We’re still testing this starter price, so it can genuinely go up — tomorrow, in three days, or next week — without warning. No artificial countdowns here; just an honest heads-up. If this matters to you, get the Pack today.
Secure checkout via Stripe · 30-day money-back · Lifetime access
Frequently Asked
Frequently asked questions about the Data Architect Pack.
If your question isn’t here, ask Dmitry by voice after you buy the Pack. It’s included.
Didn’t find your question?
After buying the Data Architect Pack you can ask it by voice to Dmitry. It’s included in the Pack price.
Get the Data Architect Pack — $19 →