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Primary Function of the Position
Design, build, and operate a modern data platform that powers engineering and manufacturing analytics. This role owns the full stack: ingesting and modeling data in Snowflake, implementing business logic in data schemas and services, and developing React-based front-end applications that expose this data to users through interactive dashboards and tools. The position partners closely with stakeholders to ensure data structures, APIs, and visualizations align with business needs.
Essential Job Duties
Primary Function of the Position
Design, build, and operate a modern data platform that powers engineering and manufacturing analytics. This role owns the full stack: ingesting and modeling data in Snowflake, implementing business logic in data schemas and services, and developing React-based front-end applications that expose this data to users through interactive dashboards and tools. The position partners closely with stakeholders to ensure data structures, APIs, and visualizations align with business needs.
Essential Job Duties
- Architect, develop, and maintain scalable data pipelines for both real-time and batch processing, including alternatives to Airflow (e.g., Crosser).
- Design and implement interactive, modular visualizations using modern JavaScript frameworks and Python-based tools.
- Gather and translate business requirements from Engineering, Manufacturing, Analytics, and Finance stakeholders into robust technical solutions.
- Champion platform reliability and best practices: maintain typed, clean codebases; ensure thorough documentation, version control, unit/integration testing, CI/CD, infrastructure-as-code (e.g., Terraform), observability, and runbook development.
- Present goals, metrics, and dashboards to stakeholders with clarity and actionable insights.
- Standardize schemas, metrics, and data contracts across cloud and manufacturing edge environments.
- Enable flexible, business-driven analytics and empower users with self-service tools for user-driven insights.
- Integrate and support cloud data technologies and open-source platforms to deliver secure, high-quality analytics solutions.
- 8–14 years of experience across BI, Data Engineering, Backend, or Full Stack development.
- Advanced proficiency in cloud data and analytics platforms, streaming technologies, and orchestration tools (e.g., Kafka, AWS, Flink/Spark, Airflow or alternatives, DBT, Terraform, Git-based workflows, CI/CD).
- Strong skills in React.js, HTML5, and CSS3 for building data-driven front-end applications integrated with RESTful APIs.
- Backend programming experience with at least one language (such as Node.js or Python) for developing services/APIs that expose analytic data.
- Expertise in SQL, data modeling, and query optimization for scalable and performant analytics solutions.
- Track record of platform reliability through unit/integration testing, typed/documented code, and operational runbooks.
- Experience with manufacturing equipment data and creating related visualizations.
- Strong collaboration and communication skills for requirements gathering and translating business needs into technical solutions.
- Experience with open-source BI/analytics visualization tools (e.g., Streamlit, Superset).
- Familiarity with time-series/process historians (e.g., Aveva Historian).
- Exposure to self-service analytics and empowering business users to create custom dashboards.
- Background in platform governance, schema evolution, and metric contract management.
- Bachelor’s or Master’s degree in Information Systems, Computer Science, Data Science, or related fields.
- Specializations in BI, Data Engineering, Full Stack Web Development, or Enterprise Systems preferred.