Lead Data Architect

Genworth Financial

Confirmed live yesterday High trust
Remote Hybrid

Quick summary

Work type
Remote
Location
Richmond, VALynchburg, VA
Salary
$120,900–$187,000 / yr
Posted
15 days ago
Freshness
Confirmed live yesterday

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 a Lead Data Architect, you will serve as a change agent within a data transformation program to bridge the gap between business requirements and technical execution. You will collaborate with stakeholders to translate complex needs into solution architectures that balance cost, time, and value while promoting the adoption of established reference architectures. Your daily responsibilities include creating reusable frameworks, designing high-level data models and pipeline diagrams, mentoring teams on implementation, and leading proofs of concept for new design patterns. The role requires expertise in analytical and operational databases, coding frameworks, cloud services, and networking. You will work with technologies including Databricks, Spark, Kafka, and Lakehouse architectures to manage structured, semi-structured, and unstructured data. Your work focuses on integrating enterprise data to produce insights while ensuring all solutions align with core architectural standards.

What you'll do

  • Translate business requirements into solution architectures covering infrastructure, data modeling, integration, and coding design.
  • Evaluate project scope by balancing delivery timelines, functional trade-offs, cost considerations, and expected business value.
  • Create reusable frameworks, detailed design patterns, and standard documentation for use across multiple projects.
  • Lead proofs of concept to validate new design patterns and technical approaches before broad implementation.
  • Guide data engineering leads and infrastructure specialists on requirements for building and testing successful solutions.
  • Communicate architectural decisions and trade-offs clearly to both technical teams and business stakeholders.
  • Act as a change agent to build awareness and demand for data architecture among stakeholders who have not used it previously.
  • Develop project estimates, decision trees, and high-level data model and pipeline diagrams.

What we're looking for

  • Must have a four-year college degree or equivalent experience.
  • A Master's degree is preferred.
  • Relevant professional certifications are preferred.
  • Must have at least five years of experience as a data architect or in related roles like data engineering and modeling.
  • Must possess hands-on experience with Databricks, Spark, Kafka, Lakehouse architectures, and ingestion tools.
  • Must have experience designing ingestion solutions using change data capture, event streaming, and batch processing for various data types.
  • Must possess technical skills in data modeling, coding, CI/CD implementation, and software used to produce architectural deliverables.
  • Must demonstrate knowledge of analytical/operational databases, cloud services, networking, security practices, and hardware configurations.

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