Lead Data Engineer
Core
Design, build, and operationalize data engineering solutions for data and analytics platforms and products.
Role type
Lead Data Engineer
Builds
ETL, ELT, and streaming ingestion and delivery workflows across multiple data sources
Domain
Real Estate / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data architecture, Data modeling, Data warehousing, ETL strategies, AWS services (S3, EC2, EMR, EKS, Glue, Lambda, AppFlow, CloudWatch), Snowflake Data Cloud, dbt, SQL, Python, Data governance, Data ingestion (incremental, CDC), REST APIs
Preferred skills
Orchestration tools (Prefect, Airflow), Qlik Replicate, AWS certification
Technologies
Airflow, AWS Lambda, CloudWatch, EC2, Glue, Snowflake, dbt, Qlik, REST, Python, SQL
Responsibilities
Architect and implement ETL, ELT, and streaming ingestion workflows; Apply data modeling and cloud data lake/warehouse practices; Instrument analytics platforms with metrics and monitoring; Improve data ingestion architecture for quality and maintainability; Define and implement engineering standards (CI/CD, testing, code reviews); Integrate data from disparate systems for analysts and data scientists; Collaborate with stakeholders to capture requirements and support decision-making workflows.
Seniority
Senior, hands-on IC with leadership responsibilities
