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.
Work Mode
This role offers a hybrid work mode and is open to candidates located in Belgium, the UK, or Germany.
Gorilla is an equal opportunity employer.
