Senior Engineering Manager, Platform
Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.
By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.
We are seeking a Senior Manager to lead our Clinical Data Platform organization, responsible for building and operating the systems that power our Clinical Data Repository (CDR), Patient Data Layer (PDL), and broader clinical data initiatives.
This is a technical leadership role for a hands-on, deeply experienced engineering leader who can operate across software engineering, data/ML engineering, and cloud infrastructure. You will define and drive the architecture, execution strategy, and operational excellence of a multi-tenant, multi-cloud clinical data platform that processes and serves highly sensitive healthcare data at scale.
You will lead a team of high-performing engineers and technical leads, bringing clarity to ambiguity, rigor to execution, and discipline to prioritization. Success in this role requires the ability to balance long-term platform vision with near-term delivery, while maintaining high standards for reliability, security, and scalability in a regulated environment.
What You Will Do:
Technical Strategy & Architecture
- Own the technical vision and roadmap for the Clinical Data Platform. Drive architecture for multi-tenant, multi-cloud data platforms, ensuring strong isolation, scalability, and compliance
- Make high-stakes architectural decisions across data processing, storage, serving, and interoperability layers
- Ensure platform capabilities support analytics, product features, and AI/ML use cases
- Establish durable patterns for data lifecycle management (ingestion, validation, transformation, enrichment, serving)
Execution & Delivery
- Lead execution of complex, cross-functional initiatives with clear prioritization and measurable outcomes
- Translate business and product needs into well-defined engineering plans and deliverables
- Drive ruthless prioritization, focusing the team on highest-impact work while managing tradeoffs across speed, quality, and cost
- Ensure high standards for operability, reliability, and performance in production systems
- Oversee delivery across batch and real-time data systems
Engineering Leadership
- Build, lead, and scale a high-performing team of engineers and technical leads
- Set a high bar for technical design, code quality, and system reliability
- Mentor and develop engineers, creating strong technical ownership and accountability
- Foster a culture of ownership, urgency, and continuous improvement
- Partner closely with Product, Data Science, Platform, and Infrastructure teams
Platform & Infrastructure Excellence
- Drive best practices across cloud engineering (AWS preferred), infrastructure-as-code, and environment management
- Ensure tight integration with platform capabilities including CI/CD, observability, security, and cost management
- Partner with ML Platform and Data teams to enable robust ML data pipelines and feature systems
- Ensure systems meet security, compliance, and auditability requirements in a healthcare environment
Cross-Functional Influence
- Act as the technical authority for clinical data systems across the organization
- Collaborate with stakeholders across Product, Ops, and external partners
- Influence company-wide decisions on data architecture, interoperability, and platform strategy
- Drive alignment across teams in a multi-cloud, multi-platform ecosystem
Technical Experience:
Strong candidates will bring experience across cloud engineering, platform infrastructure, and modern data systems, including:
- Cloud Engineering (AWS preferred): Experience with core services across compute (EC2, EKS/ECS, Lambda), storage (S3), data systems (RDS, DynamoDB, Redshift), networking (VPC design, private connectivity), and security (IAM, KMS). Familiarity with multi-account and multi-region architectures and multi-cloud patterns
- Infrastructure & Reliability: Infrastructure-as-code (Terraform or equivalent), CI/CD integration, observability (metrics, logs, tracing), and building resilient, cost-efficient production systems
- Data & Distributed Systems: Distributed processing (Spark or similar), data platforms (Databricks, Snowflake), orchestration (Airflow), streaming (Kafka), and modern lakehouse architectures (Delta, Iceberg)
- Data Modeling & Lifecycle: Strong understanding of ingestion, transformation (dbt or similar), validation, and serving patterns for analytical and operational use cases
What You Bring:
- 10–15+ years of experience building and operating large-scale data or distributed systems
- 5+ years of engineering leadership experience, including managing senior engineers and tech leads
- Proven track record of delivering complex, high-impact platform initiatives
- Strong technical depth across:
- Software engineering (system design, distributed systems)
- Data engineering (large-scale processing, modeling, pipelines)
- Cloud infrastructure (AWS preferred; multi-cloud experience a plus)
- Experience designing and operating multi-tenant, highly regulated data platforms
- Demonstrated ability to drive clarity in ambiguous environments and lead from problem definition to execution
- Strong track record of prioritization and execution discipline in fast-moving environments
- Ability to balance hands-on technical involvement with organizational leadership
What Helps You Stand Out:
- Experience in healthcare or other regulated industries
- Familiarity with clinical data standards (FHIR, HL7, EHR integrations)
- Experience building or operating clinical data repositories (CDR) or longitudinal patient data systems
- Experience leading large-scale platform transformations or migrations
- Exposure to multi-cloud architectures and cross-platform data integration
- Experience building platforms that support AI/ML use cases, including:
- Feature engineering pipelines
- Training and inference data flows
- Feedback loops and iterative data workflows
- Familiarity with AI-assisted development tools and modern engineering practices
- Ability to evolve platform capabilities to support next-generation data and AI applications
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
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