Sr. Data Engineer

Job Description

Job Description

Who We Are :

Bandwidth , a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!

At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband

What We Are Looking For :

This role focuses on designing, building, and optimizing scalable data platforms that enable data ingestion, transformation, and governance for the organization. The Sr. Data Engineer will work closely with cross-functional teams to support both traditional data engineering pipelines and modern data mesh initiatives, balancing infrastructure development, data-ops, and enablement. The role requires a strong understanding of data architecture in Snowflake, along with proficiency in Python, AWS services, and dev-ops practices, to drive efficient data solutions for enterprise-wide data consumption.

What You'll Do :

• 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.
• Stakeholder Collaboration : Partner with product owners, business stakeholders, and data teams to translate business requirements into scalable data solutions, aligning roadmaps with organizational objectives.
• Agile Practices & Leadership : Participate in Agile ceremonies, mentor junior engineers, and help drive a culture of continuous improvement across the data engineering team.
• Metrics and Observability : Implement monitoring and metrics for data pipeline health, performance, and data quality, driving insights to improve product decision-making.

What You Need : Education :

Experience :

Knowledge :

Skills :

The Whole Person Promise :

At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND.

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