As a Lead/Staff Data Platform Engineer, you'll define and scale our data platform to meet the increasing complexity and volume of data-driven use cases in the energy industry. You'll combine deep technical expertise with the ability to drive initiatives across teams, shaping the technical foundation that supports our products and customers.
Requirements
- 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.
- Experience with container orchestration (Kubernetes) in cloud or hybrid environments.
- Understanding of data governance and security best practices in regulated industries.
Benefits
- Flexible work options
- Country-specific mobility benefits
- Ability to work flexible hours
- Best technology for remote work
- Generous PTO allowance
- Health insurance coverage
- Career growth opportunities
- Lifelong learning
Originally posted on Himalayas
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