Senior Data Engineer / Data Architect (Network Mediation & ETL)

Role overview

We are seeking an experienced Senior Data Engineer / Data Architect to design, build, and modernize large-scale network mediation and ETL platforms that support billing, revenue assurance, analytics, and operational systems. The role focuses on distributed data processing, real-time streaming, cloud modernization, data quality, and scalable architecture design.

This position is based in Bellevue, Washington and is on-site. It is not available as a remote role.

Key responsibilities

• Design, build, and enhance ETL and data mediation pipelines that collect, parse, transform, and deliver network data, including CDRs, usage records, and performance metrics, to downstream billing, revenue assurance, and analytics systems.
• Develop, deploy, and support real-time streaming applications using Apache Kafka and distributed data processing platforms.
• Build producers, consumers, stream-processing applications, and data aggregation services for high-volume data environments.
• Modernize legacy on-premise mediation and ETL workloads to cloud-based and next-generation platforms.
• Develop configuration-driven parsers and transformation frameworks capable of processing ASN.1, XML, CSV, ASCII, and other network data formats.
• Build ingestion and delivery solutions for transferring data between source systems, data lakes, external consumers, APIs, SFTP platforms, and analytical environments.
• Implement monitoring, auditing, and validation processes to ensure data completeness, accuracy, delivery, and operational reliability.
• Troubleshoot data quality issues, pipeline failures, system bottlenecks, and production incidents through root cause analysis.
• Maintain workflows, lookup tables, business rules, and operational configurations while automating deployment and support processes.
• Define architecture standards, migration strategies, scalability frameworks, resiliency models, Kafka topic design, and schema management practices.
• Lead technical design reviews, provide architectural guidance, and mentor engineering teams on coding standards, troubleshooting, and best practices.
• Collaborate closely with engineering, billing, revenue assurance, operations, and vendor teams to deliver business-critical solutions.
• Maintain technical documentation, architecture designs, deployment procedures, and operational runbooks.
• Demonstrate leadership, mentoring, communication, and collaboration skills with both technical and non-technical stakeholders.

Required skills & qualifications

• 5+ years of experience in Data Engineering, ETL Development, Data Mediation, Data Architecture, or related fields; 10+ years of experience designing or leading large-scale data platforms is highly desirable for architect-level candidates.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• Strong hands-on experience building, deploying, and supporting production ETL and large-scale data processing pipelines.
• Strong programming skills in Java, Python, and/or C++, with scripting experience using Shell, Perl, Python, or similar technologies.
• Strong SQL skills for data analysis, validation, reconciliation, performance optimization, and troubleshooting.
• Strong troubleshooting, analytical, debugging, and problem-solving skills with the ability to translate business requirements into scalable technical solutions.
• Strong customer focus, operational excellence mindset, and accountability for production stability, quality, and business outcomes.
• Experience with distributed data processing platforms such as Apache Spark, Databricks, Hadoop, or equivalent technologies.
• Experience with real-time streaming and messaging platforms such as Apache Kafka, JMS, or other event-driven architectures.
• Experience working in Linux/Unix production environments.
• Experience developing REST APIs, operational tooling, monitoring solutions, and data integration services.
• Experience with Kubernetes, containerized applications, and CI/CD pipelines.
• Experience with cloud-native data platforms, lakehouse architectures, Apache Iceberg, object storage technologies, and modern analytics ecosystems.
• Experience with AWS, Azure, Google Cloud Platform, or other cloud environments.
• Experience with commercial ETL, mediation, or enterprise data integration platforms is a plus.
• Experience with telecom network data, including CDRs, mediation systems, charging platforms, billing systems, and network-performance metrics is highly desirable.
• Prior experience supporting large-scale telecom, networking, enterprise data, energy, or utility environments is preferred.
• Familiarity with network protocols and data collection technologies such as SNMP and Diameter is preferred.

Eligibility

• Candidates must have a valid U.S. work authorization and be eligible to work in the United States without sponsorship.
• This position does not offer employment visa sponsorship, H-1B sponsorship, or visa transfers, now or in the future.
• This position is based in Bellevue, Washington and requires on-site presence. Remote work is not available for this role.