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Principal Data Modeler

Overland Park
$138k – $200.1k/yr
Posted about 24 hours ago
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Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

Principal Data Modeler

The Principal Data Modeler will design enterprise-wide data modeling standards, including conceptual, logical, and physical models that enable governed, performant, reusable data products on Snowflake. This role turns business concepts and Critical Data Elements (CDEs) and analytics needs into well-structured schemas and semantic definitions that are consistent, documented, and easy to use, and integrates models into the organization’s catalog, lineage, quality checks, and access controls.

What you will do:

  • Translate domain concepts and Critical Data Elements (CDEs) into clear conceptual and logical models by partnering with product and data owners.
  • Define and maintain canonical entities, conformed dimensions, and metric definitions aligned to the glossary/ontology across multiple business areas.
  • Implement physical data models on Snowflake, including star/snowflake schemas and, when appropriate, Data Vault and 3NF structures.
  • Optimize Snowflake implementations using micro-partitioning considerations, materialized views, search optimization, and clustering choices, and document design decisions such as SCD handling and surrogate keys.
  • Define and maintain data product contracts, including schemas, SLAs/SLOs, versioning, and change policies.
  • Ensure models are discoverable and well-governed with complete metadata, lineage, and ownership in the catalog.
  • Embed governance-by-design by classifying and tagging CDEs/PII in models and enabling enforcement of tag-based masking and row-access policies, including providing evidence for attestations.
  • Publish modeling standards and runbooks to support performance and reliability goals, including meeting BI latency targets (under 10 seconds where required) under concurrency and providing guidance on warehouse strategy, result caching, and model refactoring.
  • Specify validation rules and profiling thresholds (freshness, volume, schema) tied to CDEs, and integrate tests into CI/CD and stewardship workflows.
  • Create documentation and enablement materials, including model diagrams, semantic definitions, and consumer guides, and partner with stewards and analysts to drive adoption and deprecate redundant reports and datasets.
  • Work model-as-code using Git-based CI/CD and testing, collaborating with stewards and owners and designing for privacy and performance from day one.
  • Mentor junior data modelers as needed.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What you will bring:

  • Bachelor’s degree in Information Systems, Computer Science, Data/Information Management, or a related field.
  • 10+ years of data modeling and warehouse design experience, with proven delivery of conceptual, logical, and physical models consumed at scale.
  • Hands-on Snowflake data modeling experience (star/snowflake, and 3NF/Data Vault where appropriate) and performance patterns including materialized views, search optimization, and clustering/micro-partition hygiene.
  • Experience designing data contracts and working with CDEs, including schemas/SLOs, versioning, and integrating models with glossary, lineage, and stewardship processes.
  • Experience applying governance and privacy practices, including object tags, alignment to classification/retention, and enabling tag-based masking and row-access.
  • Tooling experience with SQL and dbt or equivalent for model-as-code (tests, documentation, CI/CD), plus modeling/diagram tools and catalog/lineage platforms.
  • Strong communication skills, including the ability to reconcile competing narratives and converge on trusted, reusable semantics.

What will set you apart:

  • Experience mapping business architecture and ontology to data models, including metric layers and semantic models for BI.
  • Exposure to data fabric concepts, including automation of tagging/metadata and policy propagation.
  • Helpful certifications or familiarity, including Snowflake SnowPro (Data Engineer/Architect), dbt certification, and CDMP/DCAM familiarity.

Normal office working conditions.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included in this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

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  • Medical, dental, vision and life insurance
  • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment that includes the option to wear jeans
  • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
  • Paid volunteer time — 16 hours per calendar year
  • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
  • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Base Salary Range

$138,000.00 - $200,100.00

The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Equal opportunity employer • Drug-free workplace

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.

Job Posting End Date at 12:01 am on: 08-03-2026

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Skills

Data modeling
Snowflake
Data warehousing
SQL
dbt
Data governance
Data architecture
Metadata management
Data lineage
CI/CD
Data contracts
Semantic modeling
Data privacy
Performance tuning
Mentoring

Location

Gillingham, England, United Kingdom

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