At Gorilla, we're building the data infrastructure that powers energy companies on their journey to net-zero. As a Lead/Staff Data Platform Engineer, you'll 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’ll combine deep hands-on technical expertise with the ability to drive initiatives across teams, shaping the technical foundation that supports our products and customers.
You won’t just be building services—you’ll be designing the architecture, improving the developer experience, and guiding our platform strategy with a strong focus on performance, security, and scalability.
Your Role
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SaaS experience in high-load, data-intensive environments.
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Lead the technical vision and strategy of our internal data platform, influencing architectural decisions and establishing best practices across the engineering organization.
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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.
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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.
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Collaborate with stakeholders (data engineering, backend, DevOps, product) to identify platform gaps and design scalable, long-term solutions that unlock product innovation.
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Mentor and support engineers, fostering technical growth, improving team practices, and elevating the quality of engineering across the board.
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Ensure operational excellence by automating infrastructure, monitoring key systems, and leading incident response and root cause analysis for platform-related issues.
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Evaluate and introduce new technologies and practices (e.g., container orchestration, data lake solutions, workflow orchestration tools) based on evolving business needs.
What You’ll Need
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Proven experience designing, building, and scaling data platforms or backend infrastructure in production environments.
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Strong Python skills, with a solid foundation in software engineering principles.
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Expertise with AWS services, including Lambda, ECS/EC2, S3 and RDS.
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Deep experience with Terraform and infrastructure-as-code practices.
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Familiarity with tools like Airflow or DBT, and data platforms such as Snowflake or Databricks.
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Solid experience with CI/CD, observability, and platform reliability practices in cloud-native environments.
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Understanding of distributed computing concepts, and experience designing systems for scale, security, and availability.
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A proactive, collaborative mindset and demonstrated ability to lead technical projects and align stakeholders around shared goals.
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Strong communication skills and a mentoring attitude that improves the technical capabilities of those around you.
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Experience with container orchestration (Kubernetes) in cloud or hybrid environments.
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Understanding of data governance and security best practices in regulated industries.
