Staff Data Engineeer • Data Engineering Leadership: You are responsible for bridging technical gaps to lead and oversee various data engineering projects for our data solutions engagements. • Cross-Team Collaboration: You are responsible for contributing to alignment across the organization through influence and by translating context across different teams. • Project Enablement: You are responsible for ensuring that large and/or more complex engineering projects are delivered in alignment with the appropriate business outcomes. • Proven experience as a Data Engineer or related role, with a focus on designing and developing data pipelines. • Strong programming skills in Python and SQL. Experience with Scala and Rust is a plus but not required. • Deep knowledge of data warehousing and ETL/ELT processes. • Intermediate / expert proficiency with common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow) • Deep experience with at least one cloud data warehouse (Snowflake, BigQuery, Databricks, or similar). • Experience with streaming solutions such as Spark Streaming, Kafka, or Flink is desirable but not required. • Strong experience with at least one cloud platform such as AWS, Azure, or Google Cloud. • Experience mentoring and advising other engineers • Ability to define, explain, and sell long-term vision for technical architecture, technical approaches / procedures, etc. • Excellent communication and collaboration skills.