Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

Solutions Architect

Kaufman Hall251 open roles

Pay
$135,200 – $236,600 a year
Where
Irving TX 75062 Vizient Corporate HQ
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSolutions ArchitectKaufman Hall · Irving TX 75062 Vizient Corporate HQ

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Kaufman Hall's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Kaufman Hall postings stay open a median of 45 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted yesterday

Kaufman Hall median: 45 days open

The posting

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will provide architectural leadership across the Spend Data Management portfolio, supporting enterprise master data, data products, and modernization initiatives across multiple products and engineering teams. You will design secure, scalable, resilient solutions for high-volume data platforms, including product and vendor mastering, APIs, integrations, cloud services, data quality, identity, security, and semantic technologies. You will establish architecture standards and reusable capabilities, guide internal teams and implementation partners, and influence technical decisions that improve data availability, throughput, reliability, and long-term platform evolution.

Responsibilities

· Lead the technical adoption of the Spend Data Management data-product model by establishing standards for product ownership, consumer outcomes, interfaces, data contracts, quality, support, security, discoverability, and lifecycle management.

· Design end-to-end solution and reference architectures spanning enterprise master data, data products, applications, APIs, integrations, cloud platforms, eventing, data quality, identity, security, and semantic technologies.

· Translate business capabilities and requirements into secure, scalable, resilient architectures and reusable capabilities for master-data management (MDM), product and vendor mastering, identity resolution, data access, data quality, and stewardship workflows.

· Architect high-volume data solutions that process millions of records and improve scalability, throughput, data correctness, and near-real-time availability.

· Provide architectural leadership across multiple products and guide internal engineering teams and implementation partners through solution design, delivery, production readiness, and technical evolution.

· Partner with Product, Engineering, Platform Engineering, CloudOps, Security, Enterprise Architecture, data stewards, business stakeholders, and clients to align solutions with business and technology objectives.

· Establish and communicate architecture standards, shared services, reusable capabilities, engineering practices, data-contract standards, and reference architectures.

· Lead architecture reviews for material designs, vendor choices, integration contracts, and production-readiness decisions; clearly document alternatives, tradeoffs, decisions, accountable owners, and follow-up actions.

· Define and govern transition architectures for modernization initiatives, including master-data platform migrations and migration from legacy enterprise data platforms to modern cloud data platforms.

· Establish minimum engineering practices for critical data flows, including automated regression and data-correctness testing, release evidence, observability, operational readiness, incident learning, and technical-debt management.

· Evaluate emerging technologies, frameworks, tools, and libraries; lead proofs of concept and reference implementations tied to defined business outcomes, and establish practical guardrails for AI-assisted engineering and changes to mastered data.

· Mentor technical leads and engineers, influence technical decisions without direct authority, and advise engineering leadership on architecture readiness, material risks, investment tradeoffs, vendor dependencies, and portfolio sequencing.

Qualifications

· Relevant degree preferred.

· 7 or more years of related experience required.

· Strong architecture experience with enterprise MDM, including product and/or vendor mastering, required.

· Experience designing high-volume enterprise data platforms that process millions of records, with demonstrated focus on scalability, throughput, reliability, data quality, and near-real-time availability required.

· Experience designing solution and reference architectures across data products, APIs, integrations, cloud platforms, event-driven systems, identity, security, and distributed services required.

· Experience leading complex modernization or platform-transition initiatives involving master-data platforms, enterprise data platforms, integrations, or cloud services required.

· Experience leading architecture reviews, evaluating technology and vendor options, documenting tradeoffs, and guiding production-readiness decisions required.

· Demonstrated ability to mentor engineers, influence technical decisions, and raise team capability without formal people-management authority required.

· Knowledge of enterprise security, privacy, compliance, data governance, identity, resiliency, observability, automated testing, CI/CD, operational readiness, and modern engineering practices required.

· Experience with Informatica MDM, Tibco EBX, Databricks, Snowflake, Microsoft Azure data services, Stardog, ontologies, semantic technologies, or comparable enterprise MDM and modern data platforms preferred.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Kaufman Hall's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Kaufman Hall's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Kaufman Hall's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.