Sr Data Engineering Manager
Imperative Care3 months ago
Campbell, CA, USAStaff+
Base Salary
$220k - $245k/yr
Responsibilities
- Design and own a modern semantic data platform connecting enterprise systems and unstructured content into a unified, governed data layer.
- Define data architecture, roadmap, build-versus-virtualize decisions, and total cost of ownership across semantic, knowledge-graph, warehouse, and lakehouse approaches.
- Build and maintain the enterprise knowledge graph and semantic layer, including bi-directional synchronization, data cleansing, and master and reference data alignment.
- Implement enterprise data security and governance using RBAC, ABAC, data lineage, quality, and stewardship controls.
- Design, prototype, and deploy production AI agents and intelligent workflows with tool calling, context and memory management, multi-agent orchestration, RAG, and human-in-the-loop checkpoints.
- Partner with managed-service providers and vendors to scale agent development and workflow automation.
- Enable self-service analytics and reporting, lead selected high-value report development, and improve forecasting and decision-support capabilities.
- Drive AI adoption and data-driven decision-making across IT, Finance, Sales, Marketing, Legal, and Quality.
- Contribute to hiring, onboarding, mentoring, compliance, security, and scalable solution design.
Requirements
- Bachelor’s degree in computer science, software engineering, data engineering, or a related discipline, or an equivalent combination of education and related experience.
- At least 12 years of experience in data engineering, data architecture, applied AI/ML, or enterprise application development.
- At least 2 years of recent, progressive, hands-on experience building production generative-AI and agentic solutions involving LLMs, agent frameworks, RAG, orchestration, and tool or function calling.
- Experience architecting modern data platforms using semantic layers, knowledge graphs, medallion or lakehouse architectures, and heterogeneous enterprise source-system integrations.
- Knowledge of data governance and security models, including RBAC and ABAC, as well as bi-directional 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.
- Master’s degree preferred.
- Experience with regulated environments, including GxP, 21 CFR Part 11, CSV/CSA, GAMP 5, or HIPAA, strongly preferred.
- Hands-on cloud infrastructure knowledge and experience managing vendors or MSPs, including SOWs, licensing, and budgets, preferred.
Benefits
- Stock options, competitive salary, a 401(k) plan, health benefits, generous paid time off, parental leave, and emotional health resources.
- Full-time, on-site work in the Campbell, California office.
Categories
AI ApplicationsData Engineering
About Imperative Care
Imperative Care develops and manufactures medical devices and connected solutions for treating stroke and other vascular diseases, selling to hospitals and interventional specialists. Its portfolio includes mechanical thrombectomy and vascular access systems and related technologies, along with data-enabled tools to support the patient journey. Founded in 2015, the privately held company is headquartered in Campbell, California.