Sr Manager - Data Architecture

Genworth Financial

Remote Hybrid

Quick summary

Work type
Remote
Location
Richmond, VA · Lynchburg, VA
Salary
$120,000–$120,000 / yr
Posted
21 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $120k
$109k most similar roles pay here $227k

This role pays less than 92% of similar roles. Most pay $149,962–$212,087 — the shaded band above. At the midpoint, this role pays about $120k versus about $181k 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 16 open roles on FindRole.

Listed pay typically runs $114,900–$114,900 across 8 roles with salary data.

Most-posted roles

View all roles at Genworth Financial

At a glance

TL;DR · Sr Manager - Data Architecture

As a Sr. Manager of Data Architecture at Genworth, you will lead the design of comprehensive data systems that ensure security, accessibility, and consistency across various teams. Your role involves creating detailed blueprints for data collection, storage, integration, transformation, and publication, ensuring they align with business requirements and are implemented uniformly by other teams. You will collaborate closely with data modelers, business stakeholders, and technical teams to establish enterprise data models, define data domains, and enable consistent data designs through decision trees and pre-built components. Additionally, you will focus on interoperability across different data solutions, leveraging big data technologies like DataBricks and Spark, while also working with the data governance team to manage metadata effectively. Essential skills include expertise in SQL development, data modeling tools such as ER Studio, and a deep understanding of data lakes and pipelines.

What you'll do

  • Establish enterprise data models for business intelligence and operational use cases.
  • Define data domains and structures based on business requirements.
  • Design interoperability across various data solutions and platforms.
  • Optimize data models for query performance and scalability.
  • Collaborate with data governance teams to ensure consistent data practices.
  • Train business users on building queries against the data model effectively.

What we're looking for

  • Minimum 3 years of experience in data modeling in a Lakehouse analytics environment.
  • Proficiency in data modeling tools such as ER Studio and expertise in DDL and SQL development.
  • Experience with big data technologies, platforms (e.g., DataBricks, Spark), and cloud services (AWS, Azure).
  • Strong analytical skills and ability to work independently and collaboratively in a cross-functional team environment.
  • Expertise in data governance, quality frameworks, metadata management, and their connection to data modeling practices.
  • Understanding of PII and PHI data governance and security is preferred.
  • Knowledge of data lakes, pipelines, and agile methodologies enhances qualifications.

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