Senior Data Architect: Drive Data Transformation & Architecture

Genworth Financial, Inc.

Richmond, Northern (VA, KY)

Hybrid

USD 121,000 - 187,000

Full time

14 days+
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Benefits offered by this job

Competitive pay and incentives
Paid time off (12+ holidays)
401(k) with employer contributions
Tuition reimbursement & training
Wellness support & EAP
Insurance: disability, life, long-term

Job summary

Genworth Financial, Inc. is seeking a Lead Data Architect to influence how data architecture is applied across projects and data products.

The role focuses on defining reusable patterns, leading design discussions, and mentoring teams to deliver scalable solutions that align with the reference architecture. The position requires strong experience in data modeling, CI/CD, and modern data platforms, with a preference for leadership and hands-on delivery.

Qualifications

  • Four year degree or equivalent; Masters preferred.
  • Experience with data architecture in transformation programs.
  • Certifications relevant to position are a plus.

Responsibilities

  • Evaluate proposed project scope, timeline, and business value.
  • Translate requirements into solution architectures aligned to reference architecture.
  • Lead or support proofs of concept to validate new designs and patterns.
  • Mentor teams on architecture, patterns and reusable frameworks.
  • Ensure designs align to SDLC and deliver early business value.

Skills

Data modeling
Coding
CI/CD implementation
Architecture leadership

Education

Four year college degree or equivalent experience
Masters preferred
Certifications relevant to this position

Tools

Databricks
Spark
Kafka
Ingestion tools
Lakehouse architectures

Job description

Genworth Financial, Inc. is seeking a Lead Data Architect to influence how data architecture is applied across projects and data products.

The role focuses on defining reusable patterns, leading design discussions, and mentoring teams to deliver scalable solutions that align with the reference architecture. The position requires strong experience in data modeling, CI/CD, and modern data platforms, with a preference for leadership and hands-on delivery.

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