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Imperative Care

Stroke-care medical devices and trials

Senior Data Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeCampbell, CA, USA

About the Job

Requirements

  • A bachelor's degree in computer science, software engineering, data engineering, or a related discipline, and at least 12 years of experience in data engineering or architecture, applied AI or machine learning, or enterprise application development; an equivalent combination of education and related experience is accepted.
  • At least 2 years of recent, progressive, hands-on experience building production generative AI and agentic solutions, including large language models, agent frameworks, retrieval-augmented generation, orchestration, and tool or function calling.
  • Demonstrated experience architecting modern data platforms, including semantic layers and knowledge graphs and/or medallion or lakehouse architectures, and integrating heterogeneous enterprise source systems and unstructured content.
  • Knowledge of data governance and security models, including role-based and attribute-based access control, and of bidirectional data synchronization and data-cleansing patterns.
  • Proven ability to deliver pilots and proofs of concept end to end and scale them into production.
  • Effective communication across technical and business audiences.

Responsibilities

  • Design and own a modern semantic data platform connecting key business systems—including ERP, CRM, marketing technologies, contract and legal management software, purchasing, quality management, and business intelligence tools—with unstructured and flat-file content in a unified, governed data layer.
  • Evaluate and select the target architecture, weighing semantic or knowledge-graph approaches that connect data largely in place against medallion or star-schema warehouses; define the roadmap, build-versus-virtualize decisions, and total cost of ownership.
  • Build and maintain the knowledge graph and semantic layer using graph, semantic, and data-integration tools, enabling bidirectional synchronization, data cleansing, and master and reference data alignment.
  • Implement enterprise data security and governance using role-based and attribute-based access control, data lineage, quality, and stewardship controls appropriate to a regulated environment.
  • Initially serve as the hands-on builder by designing, prototyping, and deploying production AI agents and intelligent workflows that connect systems to actions and insights.
  • Build agent capabilities including tool and function calling, context and memory management, multi-agent orchestration, retrieval-augmented generation, and human-in-the-loop checkpoints.
  • Implement prompt-engineering and reasoning strategies, validate value through measurable outcomes, and iterate from pilot to production.
  • Partner with managed-service providers and vendors to scale agent development and workflow automation across business processes.
  • Empower business teams to self-serve analytics by providing the data foundation, standards, and support needed by distributed report developers.
  • Enable business teams to build their own reports and support data governance efforts; lead the buildout of selected high-value reports directly where needed.
  • Collaborate with data and analytics teams to improve data reporting, forecasting, and decision-support capabilities.
  • Act as an AI thought leader and change agent by driving adoption, educating stakeholders, and promoting experimentation and data-driven decision-making.
  • Translate between technical and non-technical audiences and drive alignment across IT, Finance, Sales, Marketing, Legal, and Quality.
  • Contribute to hiring, onboarding, and mentoring as the capability scales.
  • Ensure solutions meet compliance and security expectations and are designed for scalability.

Desired Qualifications

  • A master's degree is preferred.
  • Experience in or alongside regulated environments, including GxP, 21 CFR Part 11, computer system validation or computer software assurance, GAMP 5, and HIPAA, is strongly preferred.
  • Hands-on knowledge of cloud infrastructure and experience managing vendors or managed-service providers, including statements of work, licensing, and budgets, are preferred.

About the Company

Imperative Care

Stroke-care medical devices and trials

Imperative Care develops medical technologies for stroke and vascular diseases, delivering devices and solutions to healthcare providers to improve patient care. Its approach centers on rapid development and testing, guided by clinical evidence and feedback from physicians, including large multicenter trials like the Imperative Trial. The company moves from concept to market by conducting clinical research and refining products through physician input, with revenue generated from selling devices to hospitals and clinicians. Its differentiator is the combination of evidence-based development, physician-driven insights, and an agile response to the evolving needs of stroke care. The overarching goal is to improve outcomes for stroke patients by providing practical, clinically validated tools that healthcare teams can adopt quickly and effectively.

Company size
201-500
Company stage
N/A
Total funding
$598M
Headquarters
Campbell, CA
Founded
2015

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