Data Platform Engineer & Architect to serve as a technical and strategic anchor for this transformation. In this role, you will define the long-term target architecture, governance framework, and data product strategy while leading hands-on implementation, modernizing core capabilities, and establishing engineering best practices across the platform.

Key Responsibilities

Strategic Architecture & Data Governance

- Define Target Architecture: Establish the long-term roadmap and scalable target architecture for the Industrial Data Platform, ensuring alignment with enterprise digital initiatives.
- Data Modeling & Semantics: Design reusable semantic, asset, and domain models to standardize industrial data contextualization across multiple business domains.
- Governance & Standards: Define enterprise standards for data quality, governance, security, and lifecycle management to shift from isolated point solutions to a common, reusable platform.
- AI & Digital Twin Readiness: Drive architectural decisions that enable data readiness for AI, Computer Vision, Robotics, and Digital Twin capabilities.
- Stakeholder Alignment: Partner with business leaders, product owners, and engineering teams to translate business requirements into sustainable technology strategies.

Platform Engineering & Technical Leadership

- Scalable Solution Delivery: Design, build, and optimize scalable cloud-based industrial data pipelines, integration frameworks, and reusable data products.




- System Modernization & Reliability: Modernize legacy services and core platform infrastructure while enhancing system observability, monitoring, logging, and operational readiness.
- Engineering Best Practices: Establish code quality standards, automation workflows, development patterns, and robust CI/CD practices across the engineering pipeline.
- Mentorship & Guidance: Provide technical leadership, conduct architectural reviews, and mentor engineers to build a culture of technical excellence.

Desired Experience & Qualifications

- Experience: 5+ years of hands-on experience in Data Architecture, Data Engineering, or Data Platform development, ideally within industrial data ecosystems.
- Domain Knowledge: Background working with Operational Technology (OT), IIoT, manufacturing, energy, smart infrastructure, or related operational environments.
- Cloud & Platform Skills: Proven track record building and scaling cloud data platforms, streaming data pipelines, automated integrations, and data modeling frameworks.
- Architectural Vision: Experience establishing data governance, semantic models, asset framework modeling, and reusable data product strategies for large-scale digital transformations.
- Leadership & Execution: Strong problem-solving skills with demonstrated ability to influence senior stakeholders and guide cross-functional engineering teams.

📌 Data Engineer (OT) (Provincia de Buenos Aires)
🏢 Strategic Staffing Solutions
📍 Provincia de Buenos Aires