Senior Data Platform Engineer (AWS, Databricks)
Core
Scaling a data lakehouse and modernizing legacy SQL infrastructure to power internal analytics, external data products, and agentic AI workflows.
Role type
Senior Data Platform Engineer
Builds
Data lakehouse, ETL pipelines, data commercialization products, and modernized SQL frameworks
Domain
Real Estate Technology / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python (PySpark), AWS, Terraform, Databricks, SQL, Kafka, Container Orchestration (ECS/Kubernetes), Data Modeling
Preferred skills
Experience with Snowflake/BigQuery, Fivetran, dbt, Legacy SQL Server modernization
Technologies
Databricks, dbt, Fivetran, Python, SQL, SQL Server, S3, AWS (EventBridge, Kinesis, Lambda, EC2), Terraform, Kafka, ECS, Kubernetes
Responsibilities
Own reliability and performance of the data lakehouse at scale; Build infrastructure and business logic for data commercialization products; Design abstractions and reusable templates for data ingestion, storage, and access; Lead migration of legacy monolithic SQL Server to modern lakehouse and parallel stores; Write and optimize ETL processes and contribute to data modeling; Take ambiguous problems from design through production deployment; Raise technical bar by reviewing designs and improving engineering practices
