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

Open nowPosted 17 days ago

Data Architect / Technical Lead

KData Inc.30 open roles

Where
Remote
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowData Architect / Technical LeadKData Inc. · Remote

  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 KData Inc.'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.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 17 days ago

The posting

Data Architect / Technical Lead About the Role We are seeking an experienced Data Architect to serve as Technical Lead on a data modernization engagement with a large national not-for-profit organization. The client is planning the next evolution of its Enterprise Data Platform into a governed, scalable enterprise data foundation that will support reporting, analytics, data governance, and future AI initiatives. You will lead a structured assessment of the client’s current platform, design the target-state architecture, and produce a practical, phased roadmap to implementation. You will also provide technical direction to an embedded data engineer and work alongside business analysts to define the client’s first business-focused data product, which will become the foundation for a Proof of Concept in 2027. This is a hands-on advisory role that calls for strong architectural judgement and the ability to earn the trust of both technical and business stakeholders quickly. Key Responsibilities Current-State Assessment & Discovery • Review the existing Enterprise Data Platform architecture, including data ingestion, storage, transformation, and consumption layers. • Assess platform capabilities and maturity across governance, security, metadata management, and operational processes. • Plan and lead stakeholder interviews and workshops with Technology, Architecture, Data & Analytics, Governance, and business teams. • Identify strengths, limitations, and technical debt, and validate how existing investments align with the client’s future-state vision. • Reconcile platform documentation against the actual implementation, where the two differ. • Produce the Current-State Architecture Assessment. Target-State Architecture & Blueprint • Define the future-state enterprise data platform architecture. • Define governance and operating-model requirements, including roles, ownership, and decision rights. • Specify security, data lineage, metadata, and data cataloging capabilities. • Establish architectural principles and implementation priorities. • Identify required platform capabilities, dependencies, and gaps. • Develop a phased, realistic implementation roadmap. • Produce the Target-State Architecture and Gap Analysis & Roadmap deliverables. Data Product Discovery & Definition • Partner with business analysts to facilitate workshops that identify and prioritize candidate business use cases. • Translate business objectives, success measures, source systems, data requirements, and consumption needs into technical considerations. • Define implementation implications and implementation-ready requirements for a future Proof of Concept. • Author the High-Level Solution Design and contribute to the Initial Data Product Definition Document. Technical Leadership • Provide technical oversight and design guidance to the embedded data engineer supporting pipeline development and backlog delivery. • Ensure engineering work in flight is consistent with the emerging target-state architecture. • Support knowledge transfer to client personnel so the client can own and extend the architecture. • Surface risks early, such as stakeholder availability, access delays, and shifting requirements, and work with the client project lead to resolve them. • Present findings and recommendations clearly to technical teams and senior leadership. Requirements Qualifications Required • 8+ years of experience in data engineering, data platforms, or analytics, including at least 4 years in a data architecture or technical lead role. • Demonstrated experience assessing existing enterprise data platforms and designing target-state architectures and roadmaps. • Strong knowledge of modern data platform patterns such as lakehouse, data warehouse, medallion architecture, and data mesh or data product approaches. • Strong, hands-on experience with both Microsoft Azure and Databricks, including designing and delivering enterprise data platforms on the Azure Databricks stack (for example Azure Data Lake Storage, Azure Data Factory, Delta Lake, Unity Catalog, and Databricks workflows). • Solid understanding of data governance, metadata management, data lineage, data cataloging, and data security and privacy controls. • Experience defining data operating models, including ownership, stewardship, and roles. • Proven ability to facilitate workshops and interviews with both business and technical stakeholders. • Excellent written communication, with a track record of producing clear architecture documents, gap analyses, and solution designs. • Comfort working to tight timelines in a client-facing consulting environment. Preferred • Consulting or professional services experience delivering assessment and blueprint engagements. • Experience in the not-for-profit, humanitarian, healthcare, or public sector. • Familiarity with governance and cataloging tools (for example Microsoft Purview, Unity Catalog, Collibra, or Alation). • Experience preparing data platforms for AI and machine learning use cases. • Relevant certifications (for example Azure Solutions Architect Expert, Azure Data Engineer Associate, Databricks Certified Data Engineer Professional, TOGAF, or CDMP).

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 KData Inc.'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 KData Inc.'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

    KData Inc.'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.