Senior Data Engineer
Core
Design and build data architecture, transformation layers, and pipelines for customer engagement platforms and data warehouses.
Role type
Senior Data Engineer
Builds
Data pipelines, transformation layers (dbt), and data warehouse objects
Domain
Marketing technology, Customer Experience (CX), Retail, CPG
Required skills
SQL, ELT/ETL, Snowflake, dbt, Git/CI/CD, Data Modeling, Identity Resolution, Python, Cloud Platforms (AWS/GCP)
Preferred skills
Spark/PySpark, Docker, Kubernetes, Consumer data experience
Technologies
Snowflake, dbt, Salesforce, Sailthru, Braze, AWS, GCP
Responsibilities
Define data requirements and technology stacks; Audit source systems and define migration guidelines; Translate business requirements into technical specifications; Design and build transformation layers in dbt on Snowflake; Build and maintain pipelines for customer engagement platforms; Run discovery audits of digital products; Work in git-based workflows with code review; Define data architecture frameworks and standards; Implement data security and access controls; Document data sources, processes, and lineage; Research and recommend new technologies.
Seniority
Senior, hands-on IC
