Ref: #66764
Senior Data Engineer (Databricks/Snowflake)
A leading commercial real estate finance and investment firm are looking to hrie for a Senior Data Engineer.
Responsibilities
Provide strategic direction and technical oversight for a significant greenfield initiative focused on rebuilding and modernizing our data warehouse infrastructure
Serve as a mentor to a team of engaged and curious engineers, actively guiding and leveling up the teamʼs technical skills and capabilities
Address complex data engineering challenges proactively, applying innovative solutions
Participate actively in agile practices, contributing within cross-functional squads that dynamically address evolving data engineering needs across the organization
Ensure rigorous adherence to best practices in data governance, security, compliance, and information integrity
Collaborate closely with internal teams and stakeholders to facilitate successful adoption and understanding of data initiatives and solution
Qualifications
7 years of experience in software or data engineering or related fields Demonstrated capability in leading the architectural design and implementation of large scale data warehouse systems using as-code orchestration frameworks like Airflow or Dagster
A deep passion for technical mentorship and knowledge sharing
Experience with REST APIs, GraphQL / OData and Event-Driven Architecture Expertise in SQL with modern data warehousing solutions (e.g., Fabric, Snowflake, Databricks)
Proficiency in Python and open source data processing tools Spark, Parquet, dbt, etc.)
Comfortable building scalable cloud-native systems using containerization and orchestration technologies Docker, Kubernetes, etc
Familiarity with essential DevOps practices, including version control, automated CI/CD, etc
Familiarity with analytics, business intelligence tools, or data visualization platforms.