Job Description

Granica is pioneering data optimization for large-scale AI and analytics. Our unified platform enables enterprises to dramatically reduce storage and compute costs while accelerating data pipelines - unlocking faster, more efficient access to intelligence at petabyte scale.




At the heart of Granica's mission is the belief that data is the foundation of modern AI. Realizing its full potential requires rethinking how data is managed, moved, and made useful. That's why we bring together world-class talent in AI research, distributed systems, and business to tackle the hardest challenges in data at scale.




Backed by leading investors including NEA and Bain Capital Ventures, Granica is helping the world's most forward-thinking organizations build a smarter, more cost-efficient data layer for the AI era.

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.