Back to SearchData Software Engineering Manager
Remote in Argentina, & 4 others
Data Software Engineering& 5 others
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We are seeking a Data Software Engineering Manager to deliver scalable data and integration solutions for process and energy industry clients, improving asset performance, efficiency, and sustainability. You will partner with a small cross-functional team to shape architectures, data models, and operational support.
Responsibilities
- Lead solution architecture and integration design tailored to client needs in industrial and energy domains
- Design data models and define enterprise architecture frameworks and integration strategies
- Build and maintain data ingestion pipelines and related data workflows using Python and SQL
- Translate technical and business requirements into architecture models, roadmaps, and actionable delivery plans
- Coordinate with cross-functional teams to align scope, timelines, and technical decisions
- Advise customer-facing teams and stakeholders with strategic and technical guidance
- Oversee operational support processes and help ensure service agreements for deployed solutions
- Train internal teams and external partners to enable knowledge transfer and adoption
- Collaborate with 3–5 teammates and third-party vendors to support successful delivery
- Develop expertise in Cognite products and industry best practices to drive solution innovation
Requirements
- 3+ years of experience with data software engineering in production environments
- 7+ years of experience with Python development for data workflows
- 7+ years of experience with SQL for data modeling and analytics use cases
- Solution architecture skills to design end-to-end systems and integrations
- Stakeholder management skills to align with C-level executives and business data managers
- Project collaboration skills to work across sales, engineering, and product teams
- Strong communication skills to translate complex requirements into clear architecture models and plans
- Upper-Intermediate English proficiency (B2)
Nice to have
- Google Cloud Platform experience for data platforms and integrations
- Microsoft Azure experience for cloud-based data solutions