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Datavant

Staff Data Engineer, Platform Engineering

Datavant

. Lead the architecture and development of core data platform capabilities, including processing frameworks, storage patterns, and shared services .

Posted 4/22/2026full-timeRemote • 🇺🇸 United StatesLead💰 $190,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsSpark

About the role

Key responsibilities & impact
  • Lead the architecture and development of core data platform capabilities, including processing frameworks, storage patterns, and shared services
  • Design and implement 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

Requirements

What you’ll need
  • 10+ years of experience building data-intensive or distributed systems, with a strong software engineering foundation
  • Proven experience designing and operating large-scale data platforms in production
  • Deep expertise in distributed data processing systems (e.g., Spark or similar big data technologies)
  • Strong software engineering fundamentals, including system design, testing, CI/CD, and production debugging
  • Experience building systems in cloud environments (AWS preferred), including storage, compute, and security patterns
  • Experience designing multi-tenant systems, with a focus on isolation, scalability, and 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

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data platform architecturedistributed systemsdata processing frameworksdata lifecycle managementdata quality validationsystem designCI/CDcloud environmentsdata modelingpipeline design
Soft Skills
leadershipproblem definitionsolution designdecision makingambiguity navigationtradeoff evaluationhigh-impact contributionownershipcollaborationcommunication