Staff Data Engineer (Analytics Engineering)

8+ years of professional experience in Data Engineering or related roles. Advanced skills in SQL, Python, and modern data transformation tools (e.g., DBT, Airflow). Expertise with cloud data platforms (e.g., AWS, GCP, Snowflake, BigQuery) and Infrastructure-as-Code tools (Terraform preferred). Strong background in data modeling, pipeline orchestration, and distributed data systems (e.g., Spark, Kafka). Proven ability to design, deliver, and maintain large-scale, high-quality data systems. Excellent communication and collaboration skills; able to lead through influence. A growth mindset and a passion for mentoring others.

Define and lead the technical strategy and roadmap for data infrastructure and analytics platforms. Architect, build, and scale data pipelines and systems. Partner with cross-functional teams to deliver data solutions with measurable business impact. Champion data quality, observability, governance, and compliance. Act as a technical mentor and multiplier, guiding best practices. Drive a culture of operational excellence. Collaborate globally to establish consistent technical patterns.