We’re looking for a passionate and driven Solutions Delivery Engineer to join our Solutions Delivery Team (SDT). In this role you’ll own the full data lifecycle for client delivery as part of a small, high-ownership team working at the cutting edge of real estate data services.

• Understand and translate client data requirements into clear, well-scoped technical tasks
• Design and build scalable, maintainable data pipelines aligned to Cherre’s standards, spanning ingestion, transformation, and delivery
• Author and maintain data models using dbt across BigQuery and Snowfl ake environments, managing schema evolution and version control
• Contribute to a shared automation and tooling layer that enables the team to resolve issues and deliver connectors faster and more consistently
• Conduct thorough testing and data validation to ensure accuracy, performance, and compliance with client standards
• Participate in peer reviews to ensure quality, consistency, and adherence to best practices
• Write clear documentation for each pipeline or transformation step, including data lineage, mapping logic, and assumptions
• Monitor, support, and maintain data pipelines for ongoing reliability; iterate on solutions based on client feedback and evolving needs

• Strong experience in database technologies and data warehousing
• Experience in Python for backend development and data processing
• A strong understanding of data modeling techniques (3NF, Dimensional, etc.) and their intended use cases
• Hands-on experience with cloud data warehouse platforms like BigQuery, Snowfl ake, or Redshift
• Experience with modern data transformation tools like dbt or Dataform
• Experience with ELT/ETL frameworks and data ingestion pipelines at scale
• Working knowledge of data quality frameworks, error handling, logging, and observability practices
• Clear and professional communication to manage expectations, explain pipeline behavior, and resolve data discrepancies
• Experience creating data lineage diagrams and documenting pipelines
• Ability to design and lead data architecture decisions, including schema evolution, pipeline orchestration, and infrastructure-as-code (e.g., Terraform, Docker, Kubernetes)
• Strong interpersonal skills to align stakeholders, manage ambiguity, and navigate evolving client expectations

Bonus Skills

• Experience working with real estate data domains such as property, leasing, tenant, transactions, and capital markets
• Demonstrated experience ingesting and transforming 3rd-party real estate market data (e.g., CoreLogic, CompStak, Yardi Matrix) and application data (e.g., Yardi, MRI, VTS, Realpage Onsite)
• Familiarity with knowledge graph or graph database concepts
• Experience with GraphQL APIs and metadata management
• Knowledge of DevOps practices and cloud platforms like AWS or Google Cloud Platform (GCP)
• Experience working in Agile environments with a focus on rapid iteration and continuous improvement
• Deep experience with real estate data ecosystems, including canonical modeling across property management, leasing, and investment systems
• Demonstrated success integrating bespoke and third-party real estate data at scale, ensuring consistency, integrity, and compliance with client data standards

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