Principal Data Platform Engineer

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-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. Required Qualifications 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. Preferred Qualifications Kubernetes for data workloads or equivalent container orchestration. Table/lakehouse formats (Iceberg, Delta, Hudi) and judgment on where they fit against a warehouse. Data-quality frameworks (Great Expectations, Soda) and production observability (Prometheus, Grafana, Datadog). Schema registries and event contracts (Avro, Protobuf, JSON Schema). Catalog and discovery tooling (Microsoft Purview, DataHub, Collibra,…