Staff Software Engineer, Data Platform - CANADA (Remote) Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages. We’re seeking a Staff Software Engineer to strengthen our real estate MLS data platform squad. About the Role Build robust data pipelines and backend services that power high‑quality MLS and property data, property discovery and search, personalized listing recommendations, and conversational and operational AI agents. Responsibilities Own the end‑to‑end architecture for MLS and property data: streaming and batch pipelines, microservices, storage layers, and APIs. Design and evolve event‑driven, Kafka‑based data flows that power listing ingestion, enrichment, recommendations, and AI use cases. Drive technical design reviews, set engineering best practices, and make high‑quality tradeoffs around reliability, performance, and cost. Design, build, and operate backend services (Python or Java) that expose listing, property, and recommendation data via robust APIs and microservices. Implement scalable data processing with Spark or Flink on EMR (or similar), orchestrated via Airflow and running on Kubernetes where applicable. Champion observability (metrics, tracing, logging) and operational excellence (alerting, runbooks, SLOs, on‑call participation) for data and backend services. Build and maintain high‑volume, schema‑evolving streaming and batch pipelines that ingest and normalize MLS and third‑party data. Ensure data quality, lineage, and governance are built into the platform from the start—supporting analytics, AI/ML, and customer‑facing features. Partner with analytics engineering and data science to make data discoverable and usable (semantic layers, documentation, selfservice tooling). Collaborate closely with Product, Engineering, and Operations to shape the roadmap for our data platform, MLS capabilities, and AI‑powered experiences. Translate ambiguous business and customer problems into clear technical strategies and phased delivery plans. Mentor and unblock other engineers; elevate the overall level of technical decision‑making on the team via pairing, reviews, and design guidance. Qualifications 10+ years of professional software engineering experience, including owning production systems end‑to‑end. Significant experience working with data‑intensive or distributed systems at scale (high volume, high availability). Prior experience in a senior or staff/lead role where you influenced architecture, standards, and technical direction. Strong programming skills in Python or Java, with experience building microservices and APIs (REST/GraphQL). Hands‑on experience with Apache Kafka or similar event/messaging platforms (Kinesis, Pub/Sub, etc.). Deep experience with Spark or Flink for large‑scale data processing, across streaming and batch pipelines (on EMR or similar big‑data compute). Airflow (or equivalent orchestration tools). Kubernetes for running data/compute workloads. Strong SQL and data modeling skills; solid understanding of ETL/ELT patterns, data warehousing concepts, and performance tuning. Experience building on AWS (preferred) or another major cloud provider, with a good grasp of cost, reliability, and security tradeoffs. Experience building or integrating AI agents into production workflows (e.g., internal tools, support automation, operational triage, or data workflows). Familiarity with frameworks such as PydanticAI, LangGraph, Claude Code or similar, and how they interact with backend services, vector stores, and LLM APIs. Strong communication skills; able to clearly explain complex technical decisions to both engineers and non‑technical stakeholders. Customer and product mindset: you care about how the data and services you build improve the end‑user and client experience, not just the internals. Nice to Have Experience with Iceberg, Hive, or other table formats/data lake technologies. Snowflake, Athena, Redshift, or other cloud data warehouses. dbt or similar transformation frameworks. Data quality / observability tools (e.g., Great Expectations, Monte Carlo, Datafold). Vector databases / retrieval (e.g., LanceDB, Pinecone, Elasticsearch/OpenSearch). Background in real estate, marketplaces, or other domains where data quality and freshness are highly visible to customers. Prior experience in a startup or high‑growth environment where you’ve built or significantly evolved a data platform. Benefits We are a fast‑growing company that champions a culture of innovation, ownership, and agile teamwork. Join us in shaping the future of real estate. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. #J-18808-Ljbffr