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Data Lakehouse Platform Lead Engineer

2 months ago

Chevy Chase, Maryland, United States GEICO Full time

Job Summary

GEICO is seeking an experienced Senior Staff Engineer to join our team and play a key role in the development of our Data Lakehouse Platform. As a Senior Staff Engineer, you will be responsible for leading the design, development, and implementation of scalable, resilient, and highly available data infrastructure solutions.

Key Responsibilities

  • Lead architecture sessions and reviews with peers and leadership to ensure alignment with company goals and objectives.
  • Scope, design, and build scalable, resilient Data Lakehouse components using open-source technologies such as Apache Iceberg, Delta, and Hudi.
  • Accountable for the quality, usability, and performance of the solutions, ensuring they meet the needs of the business and customers.
  • Spearhead new software evaluations and innovate with new tooling to stay ahead of the curve in the industry.
  • Analyze cost and forecast, incorporating them into business plans to ensure alignment with company goals.
  • Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning.
  • Collaborate with customers, team members, and other engineering teams to solve our toughest problems and drive business outcomes.
  • Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community.
  • Consistently share best practices and improve processes within and across teams.
  • Influence and educate peers and leadership on the latest open-source projects, technologies, and industry trends.

Qualifications

  • Exemplary ability to design and develop, perform experiments, and influence engineering direction and product roadmap.
  • Advanced experience developing new and enhancing existing open-source based Data Lakehouse platform components.
  • Experience cultivating relationships with and contributing to open-source software projects.
  • Advanced experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent).
  • Advanced experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent).
  • Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent).
  • Expertise in developing distributed systems that are scalable, resilient, and highly available.
  • Expertise in container technology like Docker and Kubernetes platform development.
  • Experience with continuous delivery and infrastructure as code.
  • In-depth knowledge of DevOps concepts and cloud architecture.
  • Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent.
  • Ability to excel in a fast-paced, startup-like environment.

Experience

  • 10+ years of professional experience in data software development, programming languages, and developing with big data technologies.
  • 8+ years of experience with architecture and design.
  • 6+ years of experience in open-source frameworks.
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service.

Education

  • Bachelor's degree in Computer Science, Information Systems, Mathematics, or equivalent education or work experience.