Principal Data Modeler

Fidelity Financial Services

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Westlake, TX
Posted
15 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $191k
$130k $266k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $165,000–$216,300.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 141 open roles on FindRole.

Listed pay typically runs $107,000–$216,000 across 35 roles with salary data.

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At a glance

TL;DR · Principal Data Modeler

The Principal Data Modeler joins the WI Data Engineering Data Modeling team to support Workplace Investments by building scalable, flexible, and thoroughly documented data models. This role involves applying hands-on modeling skills to business and technology initiatives that align with the WI Data Strategy and Enterprise Data Taxonomy. Key responsibilities include defining modeling standards, guiding technical decisions, and supporting legacy data modernization and cloud migration projects. The successful candidate will utilize expertise in conceptual, logical, physical, relational, dimensional, and 3NF data modeling for enterprise OLTP and analytical platforms. Required skills include ANSI SQL, data architecture, governance, metadata, and data quality practices. Candidates should be proficient with tools like Erwin, PowerDesigner, or Oracle Designer, with Snowflake experience considered a plus for these data engineering tasks.

What you'll do

  • Build scalable, flexible, and thoroughly documented data models for business and technology initiatives.
  • Align data models with the WI Data Strategy and Enterprise Data Taxonomy.
  • Design conceptual, logical, physical, relational, and dimensional models for OLTP and analytical platforms.
  • Translate complex business requirements into effective data models.
  • Lead legacy data modernization and cloud migration projects.
  • Define modeling standards and guide technical decisions across multiple agile engineering teams.
  • Ensure data models comply with enterprise data governance, metadata, and quality practices.

What we're looking for

  • 8-10+ years of experience in conceptual, logical, physical, relational, dimensional, and 3NF data modeling for enterprise OLTP and analytical platforms.
  • Experience designing models for enterprise OLTP and analytical platforms.
  • Experience with legacy data modernization and cloud migration.
  • Knowledge of data architecture, governance, metadata, and data quality practices.
  • Ability to influence collaborators and translate business requirements into effective data models.
  • Strong SQL skills, preferably ANSI SQL (preferred).
  • Experience with modeling tools such as Erwin, PowerDesigner, Oracle Designer, or similar.
  • Snowflake experience is a plus (preferred).

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