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Principal Data Visualization Architect Jobs (NOW HIRING)

Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics ... Experience with visualization and BI tools in conjunction with graph-derived insights Modernization ...

Who you'll work with The Principal Data Governance Architect partners closely with stakeholders ... Experience with data warehouses (Azure, Snowflake, SQL Server) and reporting/visualization tools ...

* Principal Data Architect - REMOTE * Remote but must be local to EST or CST - Must work EST hours * * Experience with systems that produce data * Experience Architecting data where it's born

The Principal Data Architect will help establish EPE's enterprise data architecture foundation, partnering across Software, Business Applications, Analytics, Finance, Cybersecurity, Infrastructure ...

We are looking for a Principal Data Architect to join our IT Team. This individual will report into our Vice President of IT, and will be responsible for defining and driving our enterprise data ...

Defines and executes enterprise data visualization strategy aligned to Finance, Operations, and ... Working knowledge of medallion architecture and the ability to consume and interpret gold-layer ...

We are looking for a Principal Data Architect to join our IT Team. This individual will report into our Vice President of IT, and will be responsible for defining and driving our enterprise data ...

We are looking for a Principal Data Architect to join our IT Team. This individual will report into our Vice President of IT, and will be responsible for defining and driving our enterprise data ...

As a Principal Data Architect, you will lead the design and implementation of enterprise-grade data systems that support global customers and enable intelligent, scalable, and secure systems.

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How much do principal data visualization architect jobs pay per year?

As of Sep 10, 2026, the average yearly pay for principal data visualization architect in the United States is $166,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $192,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Principal Data Visualization Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $166,502 per year, or $80 per hour.

Principal Data Engineer - Neo4J

Austin, TX โ€ข On-site, Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description


Principal Data Engineer - Graph Data Engineering Neo4j
Role Summary
As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives and goals, with a specialization in graph data engineering and connected data architecture. You will help lead a team of data engineers as you create interfaces, graph models, and data platforms that facilitate the flow, linkage, and contextualization of information across Citizens' business operations.
In this role, you will establish and scale graph-based solutions using Neo4j, enabling relationship-driven insights, network analytics, and advanced data discovery across domains such as fraud detection, risk analysis, and customer intelligence.
Specialized Responsibilities
  • Serve as a key contributor in designing and delivering graph data solutions, partnering with stakeholders to translate business needs into connected data models and graph architectures
  • Engineer and maintain graph database Neo4j, alongside relational and non-relational systems to support hybrid data environments
  • Develop and operationalize relationship-based data models, including nodes, edges, and properties aligned to enterprise business domains
  • Design and implement knowledge graphs and connected data platforms that unify disparate data sources and expose relationships across systems
  • Build and optimize graph ingestion pipelines for batch and streaming data sources, ensuring data freshness and integrity
  • Develop mechanisms and architectures that support business line specific use cases
  • Establish standards and best practices for graph modeling, schema evolution, and governance within the enterprise data ecosystem
  • Review and manage interfaces supporting graph data access including APIs, visualization tools, and analytics platforms
  • Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration

Preferred Technical Expertise
  • Deep expertise in Neo4j platform capabilities, including clustering, security, and enterprise deployment patterns
  • Experience in graph data modeling and ontology design for complex enterprise datasets
  • Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics
  • Experience integrating graph platforms with big data ecosystems (Spark, Kafka, etc.) and cloud-native services
  • Strong understanding of query optimization, indexing, and graph performance tuning
  • Experience with data ingestion frameworks supporting both batch and real-time pipelines
  • Proficiency in Python

Business Outcomes and Impacts
  • Enable enhanced fraud detection and prevention through network-based analysis of entities, transactions, and behaviors
  • Accelerate Customer 360 insights by linking fragmented data across business domains
  • Support real-time decisioning through connected data models and optimized graph queries
  • Drive improved data integrity and lineage visibility through network-based representations
  • Enable faster, more scalable delivery of insight-driven business capabilities through reusable graph models

Preferred Qualifications
  • 8+ years of experience in data engineering, including experience leading engineers and technical teams
  • Proven experience implementing Neo4j in enterprise environments
  • Familiarity with machine learning and AI techniques leveraging graph data
  • Experience working in Agile environments and leading cross-functional delivery teams
  • Experience with visualization and BI tools in conjunction with graph-derived insights

Modernization and Architecture Expectations
  • Advance the organization's data architecture toward connected, relationship-driven models, complementing existing data platforms
  • Establish graph-first design patterns where relationship complexity drives business value
  • Integrate Neo4j into the broader enterprise data ecosystem (cloud, lakehouse, streaming platforms)
  • Promote adoption of knowledge graphs and semantic modeling to improve interoperability and reuse
  • Implement scalable, resilient graph data platforms aligned to enterprise security and compliance standards
  • Standardized graph engineering practices, including modeling guidelines, performance tuning, and operational monitoring
  • Partner with architecture leadership to define the future-state connected data vision, ensuring alignment with digital and AI strategies

About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
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Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.