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GEICO

Principal Data Architect

GEICO

. Define and drive the enterprise data architecture vision centered on a domain-oriented data mesh .

Posted 11/10/2026full-timeRemote • United StatesLead💰 $136,325 - $212,175 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining and driving enterprise data architecture with a focus on domain-oriented data mesh principles. Proficient in designing data products, establishing governance frameworks, and translating architecture into actionable roadmaps for business and engineering leaders.

Highest-signal resume keywords
Data ArchitectureData Mesh DesignCloud Data WarehousesData ModelingGovernance and Security Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData Product StandardsData Quality FrameworksSQLPythonScalaJavaStreaming TechnologiesData ContractsSchema Management
Soft Skills
Excellent CommunicationMentoringCollaboration
Tools & Technologies
SnowflakeDatabricksBigQueryRedshiftKafkaFlinkSpark Structured StreamingIcebergDeltaHudi
Industry Keywords
Domain-Driven DesignBounded ContextsData GovernancePrivacy ArchitectureCloud PlatformsAWSAzureGCP

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformJavaKafkaPythonScalaSnowflakeSparkSQLVault

About the role

Key responsibilities & impact
  • Define and drive the enterprise data architecture vision centered on a domain-oriented data mesh
  • Set the technical direction for how data is owned, produced, discovered and consumed across the company
  • Develop a multi-year roadmap for business and engineering leaders
  • Partner with domain teams, platform engineering, security and the executive team
  • Define target-state data architecture based on data mesh principles
  • Establish domain boundaries and ownership models using domain-driven design and bounded contexts
  • Design reference architectures for data products covering ingestion, storage, transformation, serving and consumption
  • Specify data product standards, including interfaces, SLAs and SLOs, schemas and contracts, metadata, lineage, quality checks and access policies
  • Guide the self-serve data platform design
  • Own the multi-year data architecture vision and phased roadmap
  • Build the business case and investment narrative for executive stakeholders
  • Create a maturity model and adoption plan
  • Design federated governance for security, privacy, quality, interoperability and cataloging
  • Define enterprise canonical models, shared reference data and cross-domain interoperability patterns
  • Partner with security, privacy and compliance teams on regulatory requirements
  • Chair the architecture review forum and serve as escalation point for cross-domain design decisions
  • Mentor architects and senior engineers and coach domain teams in data product thinking
  • Evaluate and select technologies, run proofs of concept and publish architecture decision records
  • Represent the data architecture vision internally and, where relevant, to customers, partners and industry peers

Requirements

What you’ll need
  • 12+ years in data architecture, data engineering or platform architecture
  • At least 3 years in a principal, staff or enterprise architect role
  • Demonstrated experience designing or leading a data mesh, data product or domain-oriented data architecture, ideally through at least one production rollout
  • Deep knowledge of modern data stack patterns, including cloud data warehouses and lakehouses such as Snowflake, Databricks, BigQuery or Redshift
  • Knowledge of open table formats including Iceberg, Delta or Hudi
  • Knowledge of streaming technologies including Kafka, Flink or Spark Structured Streaming
  • Strong data modeling skills across dimensional, data vault, event-driven and domain models
  • Hands-on experience with data contracts, schema management, metadata and catalog tooling, lineage, and data quality and observability frameworks
  • Working command of governance, security and privacy architecture, including policy-as-code, fine-grained access control and data classification
  • Ability to translate architecture into a roadmap and business case and win support from executives and engineering leaders
  • Excellent written and verbal communication
  • Experience on at least one major cloud platform: AWS, Azure or GCP
  • Fluency in SQL and at least one general-purpose language such as Python, Scala or Java
  • Bachelor's degree in computer science, engineering or a related field, or equivalent practical experience
  • GEICO will consider sponsoring a new qualified applicant for employment authorization for this position

Benefits

Comp & perks
  • Personalized development programs
  • Mentorship
  • Certification assistance
  • Competitive pay
  • Benefits
  • Flexibility to support your well-being and future
  • GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers
  • Reasonable accommodations for qualified individuals with disabilities