Senior Engineering Manager, Platform

Datavant

20d • $200,000 - $250,000

About The Position

Datavant is seeking a Senior Manager to lead their Clinical Data Platform organization. This role is responsible for building and operating the systems that power the Clinical Data Repository (CDR), Patient Data Layer (PDL), and broader clinical data initiatives. It 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. The individual 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. The role involves leading a team of high-performing engineers and technical leads, bringing clarity to ambiguity, rigor to execution, and discipline to prioritization. Success requires balancing long-term platform vision with near-term delivery, while maintaining high standards for reliability, security, and scalability in a regulated environment.

Requirements

• 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)
• Strong technical depth across data engineering (large-scale processing, modeling, pipelines)
• Strong technical depth across 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
• 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

Nice To Haves

• 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

Responsibilities

• 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).
• 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.
• 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.
• 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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed