
10,000+ employees
Founded 1936
đ Automotive
đź Consulting
đĽ Healthcare
Automotive ⢠Consulting ⢠Healthcare
GEICO is a well-known American auto insurance company, providing coverage to a wide range of customers. As a leading provider of car insurance, GEICO is known for its innovative marketing and customer-centric services, delivering affordable insurance options. The company utilizes a user-friendly website for managing policies and claims, applying necessary online privacy measures to protect personal data and improve user experience. While primarily focused on auto insurance, GEICO also offers other types of insurance, including homeowner and renter policies.
đĽ 0 minutes ago
đşđ¸ United States â Remote
đľ $136.3k - $212.2k / year
â° Full Time
đ´ Lead
đ° Data Engineer
đŚ H1B Visa Sponsor
đť Ghost score 0%
Where this job comes from
Posted on GEICO's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

10,000+ employees
Founded 1936
đ Automotive
đź Consulting
đĽ Healthcare
Automotive ⢠Consulting ⢠Healthcare
GEICO is a well-known American auto insurance company, providing coverage to a wide range of customers. As a leading provider of car insurance, GEICO is known for its innovative marketing and customer-centric services, delivering affordable insurance options. The company utilizes a user-friendly website for managing policies and claims, applying necessary online privacy measures to protect personal data and improve user experience. While primarily focused on auto insurance, GEICO also offers other types of insurance, including homeowner and renter policies.
⢠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
⢠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
⢠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
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