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Lakehouse Engineer

Granica pioneers data optimization for large-scale AI and analytics, enabling enterprises to reduce storage and compute costs while accelerating data pipelines at petabyte scale.
Data
Staff Software Engineer
Remote
5+ years of experience
AI · Enterprise SaaS
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Description For Lakehouse Engineer

Granica is an innovative company revolutionizing data optimization for large-scale AI and analytics. As a Lakehouse Engineer, you'll be at the forefront of helping enterprises reduce storage and compute costs while accelerating their data pipelines at petabyte scale. This role combines hands-on technical expertise with customer-facing responsibilities, where you'll design and implement robust data pipelines using technologies like PySpark, Python, and various modern data lakehouse solutions. You'll work with a world-class team from companies like Google, Tesla, and Palantir, tackling meaningful problems that push the boundaries of data infrastructure and AI. The position offers significant growth potential in a remote-friendly environment, backed by top-tier VCs including NEA and Bain Capital Ventures. You'll have the opportunity to directly impact critical projects while enjoying comprehensive benefits and a culture that values outcomes over ego. The ideal candidate brings 5-10 years of relevant experience and strong technical skills in data engineering, combined with excellent communication abilities to work effectively with customers and internal teams. This role is perfect for someone who wants to be part of a rapidly growing startup that's helping organizations build a smarter, more cost-efficient data layer for the AI era.

Last updated 13 days ago

Responsibilities For Lakehouse Engineer

  • Partner closely with customers to understand their technical environment and integration needs
  • Design and implement scalable data pipelines using PySpark and Python
  • Configure and integrate modern data lakehouse technologies
  • Act as a trusted technical advisor for solution architecture and deployment
  • Contribute to internal tooling and automation
  • Collaborate with engineering and product teams on roadmap decisions
  • Be an ambassador of the Granica product

Requirements For Lakehouse Engineer

Python
  • 5-10 years of hands-on experience in software engineering or data engineering
  • Strong proficiency in Python and PySpark
  • Experience building data pipelines from scratch
  • Deep understanding of Apache Iceberg, Hive, Delta Lake, Snowflake, and Databricks
  • Experience with large-scale data systems
  • Excellent problem-solving and communication skills
  • Ability to thrive in fast-paced environments

Benefits For Lakehouse Engineer

Visa Sponsorship
Medical Insurance
Dental Insurance
Vision Insurance
Education Budget
  • Highly competitive compensation with uncapped commissions and equity
  • Immigration sponsorship and counseling
  • Premium health, dental, and vision coverage
  • Flexible remote work and unlimited PTO
  • Quarterly recharge days and annual team off-sites
  • Budget for learning, development, and conferences