Bandwidth is looking to design, build, and optimize scalable data platforms that enable data ingestion, transformation, and governance for the organization.
Requirements
- Programming Languages, e.g. Python, Java
- SQL Databases, e.g. MySQL, PostgreSQL, SQL Server, MariaDB
- NoSQL Databases, e.g. MongoDB, Cassandra
- Data Warehousing Solutions, e.g. Snowflake
- Data Processing, e.g. Flink
- Stream Process, e.g. Kafka, MSK
- Cloud Platforms, e.g. AWS
Responsibilities
- Develop and Maintain Scalable Data Platforms: Lead the design and development of scalable, secure, and efficient data platforms using Snowflake and other cloud technologies, ensuring alignment with the organization’s data mesh and platform enablement goals.
- Build and Optimize Data Pipelines: Architect, build, and optimize ETL/ELT data pipelines to support various business units, balancing batch and streaming solutions. Leverage tools like AWS DMS, RDS, S3, and Kafka to ensure smooth data flows.
- Data Enablement & Ops: Collaborate with cross-functional teams (data engineers, data scientists, analysts, and architects) to create data-as-a-product offerings, ensuring self-service enablement, observability, and data quality.
- Automation & CI/CD: Develop, manage, and continuously improve automated data pipelines using Python (Prefect) and cloud-native services (AWS). Ensure CI/CD pipelines are set up for efficient deployment and monitoring.
- Snowflake Expertise: Apply deep knowledge of Snowflake SQL to build efficient and performant data models, optimizing storage and query performance.
- Cloud Data Integration: Use AWS services and data integration tools (DMS, Prefect) to ingest and manage diverse data sets across the organization.
- Data Governance & Compliance: Work closely with solution architects to implement data governance frameworks, ensuring adherence to enterprise data standards and regulatory compliance.
Other
- Bachelor's degree (within an engineering or computer science discipline strongly preferred) or equivalent work experience
- 8+ years of experience working in software architecture in the data engineering domain.
- Demonstrated track record of operating in highly collaborative, flexible, and productive cross-organization teams.
- Strong written and verbal communication.
- 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
