Principal Data Platform Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $170k - $235k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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Doma

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

💸 Finance

🏠 Real Estate

💳 Fintech

Finance • Real Estate • Fintech

Doma is a company that specializes in technology solutions and title insurance services for lenders, point-of-sale providers, and the mortgage industry. Acquired by Title Resources Group (TRG) on September 27th, 2024, Doma operates as a sister company under the TRG umbrella, with a focus on providing unmatched underwriting services and supporting agency revenue growth. The company, previously known as North American Title Company, offers settlement services across various states and continues to prioritize customers and partners as part of its mission.

📋 Description

• 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

• 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

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