Senior Data Architecture Leader (Hybrid/Remote)

Genworth; Richmond (VA); Hybrid; USD 120,000 - 195,000; Full time

Benefits offered by this job

Competitive Compensation

Comprehensive Healthcare Coverage

401(k) Savings Plan Options

Tuition Reimbursement

Wellness support services

Job summary

Genworth is looking for a Sr Manager - Data Architecture based in Richmond, Virginia. In this role, you will design structural blueprints for data systems ensuring data security and accessibility. The position involves collaboration with teams to create consistent data practices across departments.

The ideal candidate should have at least three years of experience in data modeling within a Lakehouse analytics environment, proficiency in data modeling tools, and a solid understanding of PII and PHI data governance.

Qualifications

• Minimum 3 years of experience in data modeling.
• Strong analytical, problem-solving, and critical thinking skills needed.
• Ability to work independently and collaboratively.

Responsibilities

• Design structural blueprints for Genworth’s data systems.
• Establish enterprise data models for various partners.
• Monitor and optimize data models for performance.

Skills

Data modeling in a Lakehouse analytics environment

Proficiency in ER Studio

Experience with big data technologies (DataBricks, Spark, AWS, Azure)

Expert level in DDL and SQL development

Understanding of PII and PHI data governance

Education

Bachelor’s degree in computer science or related field

Master’s degree preferred

Tools

Data modeling tools like ER Studio

Job description

Genworth is looking for a Sr Manager - Data Architecture based in Richmond, Virginia. In this role, you will design structural blueprints for data systems ensuring data security and accessibility. The position involves collaboration with teams to create consistent data practices across departments.

The ideal candidate should have at least three years of experience in data modeling within a Lakehouse analytics environment, proficiency in data modeling tools, and a solid understanding of PII and PHI data governance.