The role involves transforming complex business questions into actionable insights through real-time analytics, AI-driven dashboards, and scalable data pipelines. You will also implement data governance frameworks and collaborate cross-functionally to align analytics with product strategy.
Trustonic
12 Remote Job Openings at Trustonic
The role involves transforming complex business problems into actionable insights through real-time analytics, AI-driven dashboards, and scalable data pipelines. You will also implement data governance frameworks and collaborate cross-functionally to align analytics with product strategy.
Architect and maintain scalable cloud-native data platforms to power analytics, AI, and operational decision-making. Take ownership of end-to-end data lifecycles, including the design of pipelines and models for real-time insights.
Architect and maintain scalable cloud-native data platforms to power analytics, AI, and operational decision-making. This includes designing end-to-end data pipelines, optimizing infrastructure for cost and performance, and ensuring robust data governance.
Lead and develop a team of Technical Account Managers to ensure strategic customers maximize the value of Trustonic solutions. Act as a senior technical advisor, managing complex escalations and influencing product roadmaps based on customer insights.
Act as the primary technical point of contact for customers to ensure successful adoption and optimization of Trustonic solutions. Coordinate with internal Product and Engineering teams to resolve complex technical issues and align product roadmaps with customer needs.
Act as the primary technical point of contact for customers to ensure successful adoption and optimization of Trustonic solutions. Coordinate with internal Product, Engineering, and Support teams to resolve complex technical issues and drive customer growth.
Own and maintain technical documentation for the Trustonic Telecoms SaaS Platform using a Docs-as-Code approach. Migrate legacy content to Markdown and collaborate with cross-functional teams to ensure documentation is delivered alongside platform features.
The Senior Data Engineer will be responsible for architecting and maintaining cutting-edge data systems to power analytics, AI, and operational decision-making across end-to-end data lifecycles. This includes designing scalable, cloud-native data architectures and developing efficient ETL/ELT pipelines supporting real-time insights and machine learning at scale.
The Senior Data Engineer will be responsible for architecting and maintaining cutting-edge data systems to power analytics, AI, and operational decision-making across end-to-end data lifecycles. This includes designing scalable, cloud-native data architectures and developing efficient pipelines and models for batch and streaming use cases.
The Senior Data Engineer will architect and maintain data systems that support analytics and AI. Responsibilities include designing scalable data architecture and managing end-to-end data lifecycles.
The Senior Data Engineer will architect and maintain data systems that support analytics, AI, and operational decision-making. Responsibilities include designing scalable data architecture, developing efficient data pipelines, and ensuring data governance and security.
