Data Engineer 5, Marketing and Messaging (Enterprise Platform Technology)
Core
Design, build, and deliver scalable cloud data solutions and platforms to support marketing and messaging initiatives for millions of customers.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Cloud data solutions, data pipelines, and data platforms
Domain
Financial Services / Cloud Data Engineering
Required skills
Python, SQL, Spark, distributed data systems, data pipeline design, data modeling, relational and NoSQL databases, cloud data warehousing
Preferred skills
Data observability, data orchestration, real-time/streaming pipelines, unstructured data handling, Agile development, reusable data products
Technologies
Python, Spark, Databricks, Snowflake, AWS, Azure, Google Cloud, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, Redshift
Responsibilities
Design and build data pipelines and platforms focusing on scalability and resilience; Architect and enforce common data engineering design patterns; Lead large-scale transformative data initiatives; Mentor peers and junior engineers; Collaborate with product managers and software engineers to deliver cloud-first solutions.
Seniority
Senior, hands-on IC with leadership responsibilities
