Job Description
Note: The job is a remote job and is open to candidates in USA. Doma Technology LLC offers innovative solutions for the real estate industry, making closings simpler and more efficient. They are seeking a Principal Data Platform Engineer to oversee the migration to a new cloud environment and modernize data management processes, ensuring data is accurate, governed, and ready for use by various teams.
Responsibilities
- 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
Skills
- 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
- 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, or similar)
- GitOps tooling (Flux, ArgoCD) and FinOps practices
- Practical data governance: PII identification, lineage, encryption, and a sane access model for regulated data
- Familiarity with MCPs (Model Context Protocol) and exposing data to AI systems safely
- Background in fast-paced, high-growth environments with hard delivery deadlines
Benefits
- Bonus & Equity
- Medical/dental/vision insurance
- 401(k)
- Generous vacation time
- Paid bonding leave
- Paid Time Off (PTO)
- 12 Weeks of Paid Family Bonding Leave (Maternity and Paternity)
- Incredible medical, dental, and vision benefits options to allow you to customize to you and your family’s needs that all start in the following month following your first day of employment
- Health Savings Account (HSA)
- 401K with company match program
- Short-Term &