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

Open nowPosted 51 days ago

Principal Data Engineer

Workable (global search)108,016 open roles

Where
United States
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowPrincipal Data EngineerWorkable (global search) · United States

  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 Workable (global search)'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.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 51 days ago

Workable (global search) median: 7 days open

The posting

At Vomela our greatest asset is our people. As a full-service visual communications company, we are looking for creative and intellectual thinkers that work with our customers to create compelling brand solutions and foster meaningful connections. And while you're focused on creating big things for global and local brands, we will help you build a career you can be passionate about.

Apply now to find your place at Vomela.

Pay Range: $180 - 200k USD

Job Summary

The Principal Data Engineer is the highest-performing contributor on our data engineering team - the person who sets the technical bar, owns the data platform end to end, and delivers work that others study. You'll define and execute data strategy at the engineering level, operating as the technical point of the spear for how the organization builds, scales, and trusts its data. You write production code. You design the architecture. You solve the problems that block everyone else. You mentor without being asked, influence without authority, and deliver without handholding. You're a force multiplier and you're hungry to shape not just the platform, but the broader data strategy of the business.

Microsoft Fabric is our data platform. This role is for someone genuinely energized by the Fabric ecosystem, who tracks its evolution closely and sees its breadth - Lakehouse’s, Event streams, Semantic models, Notebooks, Pipelines, Direct Lake as an opportunity, not a constraint. If you're looking for a role where your technical judgment shapes the trajectory of the entire data organization, this is exactly it.

What You'll Do...

  • Design and implement dimensional models, star schemas, and snowflake schemas with rigor
  • Build and maintain semantic models that serve as the single source of truth for business reporting
  • Implement Slowly Changing Dimension (SCD) strategies appropriate to each domain
  • Own master data engineering: golden record patterns, source-of-record authority, cross-system identity resolution
  • Establish and enforce data modeling standards across the team
  • Design and operate real-time and near-real-time pipelines using streaming technologies (Kafka, Confluent Cloud, Fabric Eventstreams) — and know when streaming is the right answer and when it isn't
  • Relentlessly drive down data staleness in non-streaming scenarios through intelligent scheduling, incremental load optimization, and pipeline orchestration design
  • Own performance tuning across the full stack — query optimization, partition strategy, indexing, Delta table compaction, semantic model refresh efficiency, and Direct Lake readiness
  • Apply operational engineering discipline: pipeline observability, alerting, SLA definition, failure recovery, and capacity planning
  • Design and implement controls appropriate for sensitive data (financials, PII, HIPAA, etc.)

ETL / ELT Pipeline Development

  • Build robust, scalable, observable pipelines — watermark-based incremental loads, CDC patterns, batch and streaming architectures
  • Ensure pipelines are idempotent, recoverable, and production-hardened
  • Serve as the senior technical voice in code review — your approval carries weight

Report & Analytics Delivery

  • Translate business requirements into semantic models and report-layer artifacts that non-technical users can trust and navigate
  • Serve as the platform's primary technical interface across consumer groups: Power BI report builders needing trusted, well-modeled semantic layers; AI/ML developers needing governed, feature-ready data surfaces; application developers consuming data via SQL endpoints, REST APIs, or Direct Lake
  • Define and enforce data contracts — schema stability, access patterns, SLAs — for each consumer class
  • Own the developer experience of the platform: discoverability, documentation, and onboarding

Requirements

Required

  • Microsoft Fabric: Lakehouses, Notebooks, Dataflows Gen2, Event streams, Semantic Models, Direct Lake mode
  • Power BI: report development, dataset/semantic model design, DAX proficiency
  • SQL Server / Azure SQL/Postgres: query optimization, schema design, stored procedures
  • Azure DevOps: Git-based development workflows, CI/CD for data pipelines

· Demonstrated use of AI coding assistants in a production engineering workflow

· Ability to critically evaluate, edit, and improve AI-generated code and artifacts

· Clear understanding of where AI accelerates work and where it introduces risk

Preferred Qualifications

  • Familiarity with broader Azure Data Services (Azure Data Factory, Synapse Analytics, ADLS Gen2, Event Hubs) as complementary tooling
  • Experience in a private equity-backed or multi-entity portfolio company environment
  • Exposure to MDM platforms (Profisee, Semarchy, Ataccama, or equivalent)
  • Experience with Confluent Cloud / Apache Kafka for streaming ingestion into Fabric or Synapse
  • Familiarity with cross-tenant Azure / Fabric architecture
  • Background in business analysis, solutions architecture, or pre-sales engineering
  • Microsoft Fabric or Azure Data Engineer certifications

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off
  • Short Term & Long-Term Disability
  • Training & Development
  • Wellness Resources
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 Workable (global search)'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 Workable (global search)'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

    Workable (global search)'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.