Lead Data Architect

Genworth Financial

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Richmond, VALynchburg, VA
Salary
$120,900–$187,000 / yr
Posted
22 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $154k
$108k most similar roles pay here $239k

This role pays less than 82% of similar roles. Most pay $167,987–$216,300 — the shaded band above. At the midpoint, this role pays about $154k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Genworth Financial

Genworth Financial is a financial services company focused on mortgage insurance, long-term care insurance, and life insurance and annuity products to help people protect their financial well-being. Industry: Insurance & Financial Services

Genworth Financial currently has 24 open roles on FindRole.

Listed pay typically runs $120,900–$187,000 across 24 roles with salary data.

Most-posted roles

View all roles at Genworth Financial

At a glance

TL;DR · Lead Data Architect

As the Lead Data Architect, you will design structural blueprints for data systems to ensure information is secure, accessible, and aligned with business goals. You will develop enterprise data models, define data domains, and create capability frameworks to ensure consistent data collection, storage, and transformation across teams. Your daily work involves creating conceptual, logical, and physical models for business intelligence, AI, and machine learning applications while optimizing for query performance and scalability. You will collaborate with stakeholders to translate requirements into technical designs and partner with engineers to build data pipelines. The role requires expertise in DDL, SQL, and tools like ER Studio within Lakehouse environments involving Databricks, Spark, AWS, and Azure. You will manage metadata, governance frameworks, and insurance-specific taxonomies while ensuring the secure handling of PII and PHI data.

What you'll do

  • Establish enterprise data models that are followed by various build and vendor partners.
  • Define data domains and structures based on specific business requirements.
  • Create consistent data designs and decision trees to ensure a uniform user experience.
  • Design interoperability across platforms, pipelines, AI applications, and cloud services.
  • Develop conceptual, logical, and physical data models for BI, AI, and ML use cases.
  • Monitor and optimize data models for query performance and scalability.
  • Translate business requirements into technical blueprints for data collection, storage, and transformation.
  • Conduct training activities to help business users build queries against the established models.

What we're looking for

  • Bachelor’s degree in computer science, Information Systems, Data Science, Mathematics, or a related field.
  • Master’s degree is preferred.
  • Minimum of 3 years of experience in data modeling within a Lakehouse analytics environment.
  • Proficiency in a data modeling tool such as ER Studio.
  • Experience with big data technologies and platforms including Databricks, Spark, AWS, and Azure.
  • Expert level proficiency in DDL and SQL development.
  • Experience working with data governance, quality frameworks, and metadata management.
  • Strong analytical, problem-solving, and critical thinking skills for data modeling.

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