How you will make a difference day to day:
- Identify, design, and implement data architecture; automate manual processes where appropriate.
- Optimize how data gets delivered, and scale our data systems where needed.
- Collaborate with technical data leadership on your proposed architecture design.
- Design processes for data observability, usage metrics, and monitoring of the platform.
- Collaborate with all areas of the business on their data needs and plan cross-team technical projects.
- Be an innovator, leading adoption of new technologies and technical improvements.
Minimum qualifications:
- 4+ years of strong data engineering design/development experience in building large-scale distributed data platforms/products
- Advanced knowledge of Python, SQL
- Proficiency with dbt and data modeling, especially incremental models
- Experience architecting and implementing data ingestion platforms, interacting with multiple third-party data sources, and assembling them into actionable structures
- Experience in technical leadership for data architectures within greenfield efforts
- Experience with both structured and unstructured datasets
- Deep experience with workflow management systems (Airflow, Argo Workflows, etc)
- Ability to establish and maintain relationships with key stakeholders
Preferred qualifications:
- Experience with a MDM related SaaS product
- Familiarity with Apache Kafka, or Kinesis
- Familiarity with applying Data Science algorithms and/or ML ops
- Experience with a variety of data serialization formats (Avro, Parquet, JSON, Protobuf, etc)
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