Assess target edge hardware and inference frameworks to design a validated technical architecture for on-device machine learning. Build a constrained feasibility demonstrator to validate interaction models and core architectural approaches.
Data Ideology
10 Remote Job Openings at Data Ideology
Lead the design of the intelligence layer for an edge AI assistant, focusing on SLM selection and retrieval-augmented inference pipelines. Produce validated architecture documents and a proof-of-concept demonstrator while defining the offboard ML lifecycle.
The Technical Business Analyst will lead discovery workshops to elicit and document business and technical requirements, ensuring alignment across multiple data platform workstreams. They will also produce structured documentation and assist with project management tasks to keep delivery on schedule.
The Technical Product Manager will partner with business stakeholders and engineering teams to translate business needs into actionable user stories and manage the product backlog. They will facilitate Agile ceremonies and develop KPIs to measure product performance and adoption.
Develop production-ready data models by integrating multiple data sources and translating business requirements into actionable data warehouse plans. Direct ETL development and implement best practices across database design and scheduling.
Design, implement, and optimize scalable data solutions and pipelines within Snowflake for various clients. Lead modernization initiatives and serve as a subject matter expert in performance tuning and cost optimization.
The consultant will lead and manage the full lifecycle of data governance engagements, including stakeholder facilitation and current-state assessments. They are responsible for designing data classification frameworks, establishing stewardship models, and delivering actionable governance roadmaps.
The Senior Data Governance Specialist will design and implement data governance strategies, including data classification, lifecycle management, and ownership frameworks. They will facilitate stakeholder workshops and collaborate across teams to ensure data reliability, accessibility, and compliance with organizational standards.
The AWS Platform Architect will lead the design and implementation of multi-tenant data lakehouse strategies and secure cloud infrastructure. They are responsible for authoring Terraform modules, ensuring data isolation, and defining architectural standards across the organization.
The Data Analyst will support cloud data warehouse migrations by analyzing source systems, writing SQL queries, and delivering scalable data solutions. They will also collaborate with cross-functional teams to translate complex data logic into actionable insights and ensure data quality through rigorous testing.
