Gorilla is looking for a Lead/Staff Data Platform Engineer to define and scale our internal data platform. This role is crucial for meeting the increasing complexity and volume of data-driven use cases in the energy industry. You will combine deep hands-on technical expertise with the ability to drive initiatives across teams, shaping the technical foundation that supports our products and customers.

What You'll Do

Lead the technical vision and strategy of our internal data platform, influencing architectural decisions and establishing best practices across the engineering organization.
Design, implement, and evolve platform services that enable teams to work with data efficiently and securely, using modern tooling such as Terraform, Docker, and cloud-native patterns.
Drive cross-team initiatives, helping teams adopt and scale platform capabilities (e.g., CI/CD, observability, workflow orchestration) with a focus on reliability, security, and performance.
Collaborate with stakeholders (data engineering, backend, DevOps, product) to identify platform gaps and design scalable, long-term solutions that unlock product innovation.
Mentor and support engineers, fostering technical growth, improving team practices, and elevating the quality of engineering across the board.
Ensure operational excellence by automating infrastructure, monitoring key systems, and leading incident response and root cause analysis for platform-related issues.
Evaluate and introduce new technologies and practices (e.g., container orchestration, data lake solutions, workflow orchestration tools) based on evolving business needs.

What We're Looking For

Proven experience designing, building, and scaling data platforms or backend infrastructure in production environments.
Strong Python skills, with a solid foundation in software engineering principles.
Expertise with AWS services, including Lambda, ECS/EC2, S3 and RDS.
Deep experience with Terraform and infrastructure-as-code practices.
Familiarity with tools like Airflow or DBT, and data platforms such as Snowflake or Databricks.
Solid experience with CI/CD, observability, and platform reliability practices in cloud-native environments.
Understanding of distributed computing concepts, and experience designing systems for scale, security, and availability.
A proactive, collaborative mindset and demonstrated ability to lead technical projects and align stakeholders around shared goals.
Strong communication skills and a mentoring attitude that improves the technical capabilities of those around you.

Nice to Have

Experience with container orchestration (Kubernetes) in cloud or hybrid environments.
Understanding of data governance and security best practices in regulated industries.

Technical Stack

Languages: Python
Cloud & Infrastructure: AWS, Lambda, ECS/EC2, S3, RDS, Terraform, Docker
Data Tools: Airflow, DBT, Snowflake, Databricks, Kubernetes

Benefits & Compensation

Flexible work options including country-specific mobility benefits and flexible hours.
Best technology for remote work.
Generous PTO allowance.
Health insurance coverage.
Career growth opportunities and lifelong learning.
International travel for company-wide gatherings.