Lakehouse Engineer

Granica is an AI research and systems company building the infrastructure for a new kind of intelligence: one that is structured, efficient, and deeply integrated with data.

Our systems operate at exabyte scale, processing petabytes of data each day for some of the world’s most prominent enterprises in finance, technology, and industry. These systems are already making a measurable difference in how global organizations use data to deploy AI safely and efficiently.

We believe that the next generation of enterprise AI will not come from larger models but from more efficient data systems. By advancing the frontier of how data is represented, stored, and transformed, we aim to make large-scale intelligence creation sustainable and adaptive.

Our long-term vision is Efficient Intelligence: AI that learns using fewer resources, generalizes from less data, and reasons through structure rather than scale. To reach that, we are first building the Foundational Data Systems that make structured AI possible.

🏄What You’ll Do

• Partner closely with customers to understand their technical environment, data challenges, and integration needs.

• Design and implement robust, scalable data pipelines from scratch using PySpark and Python, often in mission-critical environments.

• Configure and integrate modern data lakehouse and warehouse technologies including Apache Iceberg, Apache Hive, Delta Lake, Snowflake, and Databricks.

• Act as a trusted technical advisor—guiding customers through solution architecture, deployment, and troubleshooting.

• Contribute to internal tooling and automation to improve deployment velocity and system reliability.

• Collaborate with Granica’s engineering and product teams to influence roadmap decisions based on real-world customer use cases.

• Be an ambassador of the Granica product, both internally and externally.

What We're Looking For

💻Must-Have Qualifications:

• 5–10 years of hands-on experience in software engineering, data engineering, or infrastructure roles.

• Strong proficiency in Python and PySpark, with the ability to write clean, efficient, and scalable code.

• Proven experience building data pipelines from scratch, including ingestion, transformation, and optimization.

• Deep understanding and hands-on experience with:

  • Apache Iceberg

  • Apache Hive

  • Apache Delta Lake

  • Snowflake

  • Databricks

• Experience working with large-scale data systems and distributed computing architectures.

• Ability to thrive in fast-paced, ambiguous environments typical of early-stage startups.

• Excellent problem-solving, communication, and customer-facing skills.

✨Nice-to-Haves:

• Experience with Kubernetes, Terraform, or cloud-native infrastructure (AWS/GCP/Azure).

• Familiarity with security and privacy best practices in data processing pipelines.

• Prior experience in customer-facing technical roles (solutions engineer, customer engineer, etc.) is a strong plus.

Why Granica? 💛

• Work hands-on with petabyte-scale datasets, design performant systems and compression algorithms that matter

• Tackle meaningful problems that push the boundaries of what’s possible in data infrastructure and AI

• Work with top-tier engineering talent from companies like Google, Tesla, and Palantir and bleeding-edge data technologies.

• Own and lead critical projects with high visibility and impact.

• Flexible remote work culture with a globally distributed team.

• Outcome-driven culture: Low ego, high trust, customer-obsessed. We scaled to multimillion-dollar ARR without a dedicated sales team—just product pull and ROI.

• Generous benefits: Unlimited PTO, flexible hybrid setup, competitive compensation, full health coverage

• Backed by top-tier VCs with strong runway and bold ambitions.

Benefits :

• Highly competitive compensation with uncapped commissions and meaningful 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

Granica celebrates diversity and is committed to creating an inclusive environment for all employees.

We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Why Granica

• Fundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale.

• AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence.

• Real Ownership. Design primitives that will underpin the next decade of AI infrastructure.

• High-Trust Environment. Deep technical work, minimal bureaucracy, shared mission.

• Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle.

Compensation & Benefits

• Competitive salary, meaningful equity, and substantial bonus for top performers

• Flexible time off plus comprehensive health coverage for you and your family

• Support for research, publication, and deep technical exploration

Join us to build the foundational data systems that power the future of enterprise AI.
At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring.