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Doma

Principal Data Platform Engineer

Doma

Principal Data Platform Engineer at Doma Technology migrating data platforms to a new cloud environment. Focused on ensuring data governance and usability across teams in a hands-on role.

Posted 6/9/2026full-timeRemote • 🇺🇸 United StatesLead💰 $170,000 - $235,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact
  • Design and implement end-to-end data architecture including application CDC, streaming, schema design, transformation, warehouse/mart modeling, and consumption-readiness with IaC and automation-first delivery.
  • Build resilient multi-region database and replication topologies with automated failover and DR.
  • Architect streaming pipelines with correctness, replayability, and schema evolution as first-class concerns.
  • Model, document, and catalog marts for downstream self-service analytics and customer-facing consumption.
  • Build monitoring, alerting, and data-quality observability across data platform services.
  • Own PII classification, lineage, access controls, and encryption in partnership with Security.
  • Mentor engineers and set architectural standards across data platform craft.
  • Treat compute and storage spend as a design input.

Requirements

What you’ll need
  • 8+ years in data engineering, platform engineering, SRE, or DevOps, with a track record at Staff or Principal IC level.
  • Proven experience building large-scale distributed data systems in production.
  • Deep hands-on cloud experience (Azure preferred; AWS/GCP transferable) with IaC and CI/CD (Terraform or comparable).
  • Strong SQL and data modeling fundamentals across streaming and relational/warehouse patterns.
  • Production depth in at least one orchestration tool and one streaming/ingestion stack.
  • Experience designing cross-regional database replication architectures, including failover and consistency trade-offs.
  • Warehouse and mart modeling with a transformation/semantic layer (dbt or comparable).
  • Proficiency in Python, Go, or similar for automation and tooling.
  • Track record of owning ambiguous, cross-team problems end to end from approach through delivery.

Benefits

Comp & perks
  • medical/dental/vision insurance
  • 401(k)
  • generous vacation time
  • paid bonding leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data architecturestreamingschema designtransformationwarehouse modelingdata modelingSQLPythonGoIaC
Soft Skills
mentoringarchitectural standardsproblem ownership