Doma Technology LLC

PrincipalDataPlatformEngineer

$275–425k ~AI est. San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Data Platform Engineer at Doma Technology LLC. Skills: Data platform, Cloud migration, Data architecture, Data governance. Design end-to-end data architecture. Implement end-to-end data architecture”

Industry & Context.

Problems you'll solve

Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

8+ years data engineering, 8+ years platform engineering, 8+ years SRE, 8+ years DevOps, Staff or Principal IC level track record, Large-scale distributed data systems experience, Deep hands-on cloud experience, IaC and CI/CD experience, SQL and data modeling fundamentals, Production depth orchestration tool, Production depth streaming/ingestion stack, Cross-regional database replication design, Warehouse and mart modeling, Proficiency in Python, Go, or similar, Owning ambiguous, cross-team problems

Nice to Have

Kubernetes for data workloads, Table/lakehouse formats experience, Data-quality frameworks experience, Production observability experience, Schema registries and event contracts experience, Catalog and discovery tooling experience, GitOps tooling experience, FinOps practices experience, Practical data governance experience, Familiarity with MCPs, Background in fast-paced environments

What You'll Do.

Design end-to-end data architecture

Implement end-to-end data architecture

Build resilient database topologies

Build resilient replication topologies

Automate database failover

Architect streaming pipelines

Build data quality observability

Own PII classification

Set architectural standards

Treat compute spend as input

Treat storage spend as input

How You'll Work.

Team & Collaboration

Application engineering; Analytics; SRE; Security; Finance; Executive stakeholders

Communication Scope

Written communication; Stakeholder communication; Executive communication

Process & Methodology

IaC, Git-backed delivery

Full Job Description

If you’re good at what you do, you can work anywhere. If you’re the best at what you do, come work for Doma Technology. About Us  Doma Technology LLC offers solutions for lenders, real estate professionals, title agents, and homeowners that make closings vastly simpler and more efficient, reducing cost and increasing customer satisfaction. Our Values Obsessively Entrepreneurial - We encourage calculated risk-taking, and we know that some of our best learning happens by making mistakes along the way. People First - We communicate with honesty and respect to our customers, colleagues, and partners. Better Together - We believe diversity, equity and inclusion creates value through the differences in our backgrounds, experiences, and perspectives. Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices. Principal Data Platform Engineer About the Role We're looking for a Principal Data Platform Engineer to own the data platform as we migrate to a new cloud environment and modernize how data moves from applications through streams, into a governed warehouse, and out to marts that teams can actually use. This is a hands-on IC role reporting to the Senior Director of Platform Engineering. You'll be accountable for data being correct, governed, discoverable, and ready for consumption from source through curated marts. You'll partner closely with application engineering, analytics, SRE, security, finance, and executive stakeholders. The Stack We're on Azure and expanding across cloud providers. IaC and git-backed delivery are established. Orchestration, streaming/ingestion tooling, catalog, and table/storage formats are open decisions. You'll have real influence here. Bring depth in a modern stack and the judgment to choose well for our constraints. What You'll Do Design and implement end-to-end data architecture including application CDC, streaming, schema design, transformation, warehouse/mart modeling, and consumption-readin

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