Staff Data Platform Engineer: Multi-Cloud, Scalable Data

Datavant; Atlanta (GA); On-site; USD 190,000 - 230,000; Full time

Job summary

Datavant is seeking a Staff Data Engineer to lead the design and build of our next‑generation patient data platform. You will shape distributed data systems across multi‑tenant, multi‑cloud environments to enable secure, scalable analytics and AI‑driven use cases in healthcare.

This hands‑on technical leadership role combines architectural judgment with deep implementation expertise. You will define how data is ingested, transformed, validated and served while maintaining quality, observability,

Qualifications

• 10+ years of experience building data-intensive or distributed systems.
• Proven experience operating large-scale data platforms in production.
• Deep expertise with distributed data processing systems (e.g., Spark or similar).
• Strong software engineering fundamentals (design, testing, CI/CD, production debugging).
• Experience building systems in cloud environments (AWS preferred) including storage, compute, and security patterns.
• Experience designing multi-tenant systems with focus on isolation, scalability, reliability.
• Strong understanding of data modeling, pipeline design, and data quality enforcement.
• Ability to navigate ambiguity, evaluate tradeoffs, and drive durable technical decisions.
• Track record of being a high‑impact, hands‑on contributor who leads through both design and execution.

Responsibilities

• Lead architecture and development of core data platform capabilities.
• Design multi-tenant, multi-cloud data systems with strong isolation, scalability, and operational durability.
• Build and operate large-scale distributed data processing systems across batch and real-time workloads.
• Define and evolve data lifecycle patterns, including ingestion, validation, transformation, enrichment, and serving.
• Establish data quality gates and validation frameworks to ensure trust, consistency, and auditability.
• Design systems that integrate with platform infrastructure, including CI/CD, deployment orchestration, observability, and infrastructure automation.
• Make sound architectural decisions across performance, cost, reliability, and maintainability tradeoffs.
• Lead ambiguous, high-impact initiatives where both problem definition and solution design require ownership.
• Contribute significantly to production code, setting standards for quality, testing, and operability.

Skills

Distributed data processing

Cloud data platforms

Data transformation

Workflow orchestration

Streaming systems

Infrastructure as code

Lakehouse formats

AWS experience

Multi-tenant architecture

Data modeling

Tools

Databricks

Snowflake

dbt

Airflow

Kafka

Terraform

Iceberg/Delta

Job description

Datavant is seeking a Staff Data Engineer to lead the design and build of our next‑generation patient data platform. You will shape distributed data systems across multi‑tenant, multi‑cloud environments to enable secure, scalable analytics and AI‑driven use cases in healthcare.

This hands‑on technical leadership role combines architectural judgment with deep implementation expertise. You will define how data is ingested, transformed, validated and served while maintaining quality, observability,