Remote Lead/Staff Data Platform Engineer

Description:

• At Gorilla, we are building the data infrastructure that powers energy companies on their journey to net-zero.
• As a Lead/Staff Data Platform Engineer, you will play a key role in defining and scaling our data platform to meet 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.
• Your responsibilities will include leading the technical vision and strategy of our internal data platform, influencing architectural decisions, and establishing best practices across the engineering organization.
• You will 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.
• You will drive cross-team initiatives, helping teams adopt and scale platform capabilities with a focus on reliability, security, and performance.
• Collaboration with stakeholders from data engineering, backend, DevOps, and product will be essential to identify platform gaps and design scalable, long-term solutions that unlock product innovation.
• You will mentor and support engineers, fostering technical growth, improving team practices, and elevating the quality of engineering across the board.
• Ensuring operational excellence by automating infrastructure, monitoring key systems, and leading incident response and root cause analysis for platform-related issues will be part of your role.
• You will evaluate and introduce new technologies and practices based on evolving business needs.

Requirements:

• You must have proven experience designing, building, and scaling data platforms or backend infrastructure in production environments.
• Strong Python skills are required, along with a solid foundation in software engineering principles.
• Expertise with AWS services, including Lambda, ECS/EC2, S3, and RDS is necessary.
• Deep experience with Terraform and infrastructure-as-code practices is essential.
• Familiarity with tools like Airflow or DBT, and data platforms such as Snowflake or Databricks is expected.
• Solid experience with CI/CD, observability, and platform reliability practices in cloud-native environments is required.
• You should have an 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 are important.
• Strong communication skills and a mentoring attitude that improves the technical capabilities of those around you are essential.
• Experience with container orchestration (Kubernetes) in cloud or hybrid environments is required.
• An understanding of data governance and security best practices in regulated industries is necessary.

Benefits:

• This position offers the opportunity to work remotely from Germany.
• You will be part of a team that is making a significant impact in the energy sector by contributing to the journey towards net-zero.
• You will have the chance to lead and shape the technical foundation of a growing data platform.
• The role provides opportunities for professional growth and development through mentoring and collaboration with various teams.
• You will be involved in evaluating and introducing new technologies, enhancing your technical expertise.
• The company promotes a culture of operational excellence and innovation, allowing you to work on cutting-edge solutions.