GPON VDSL2 ADSL2+ Metro-Ethernet VoIP IPTV FTTH MSAP MSAN H.248 GR-303 10GE
1001 - 5000 employees
Founded 2000
📡 Telecommunications
☁️ SaaS
🏢 Enterprise
💰 $50M Venture Round on 2009-08
October 15
🇺🇸 United States – Remote
💵 $167.4k - $357.7k / year
⏰ Full Time
🟠 Senior
🔴 Lead
☁️ Cloud Engineer
🦅 H1B Visa Sponsor
Airflow
Apache
Cassandra
Cloud
Distributed Systems
ElasticSearch
ETL
Google Cloud Platform
Java
Kafka
Microservices
NoSQL
Python
Spark
Go
GPON VDSL2 ADSL2+ Metro-Ethernet VoIP IPTV FTTH MSAP MSAN H.248 GR-303 10GE
1001 - 5000 employees
Founded 2000
📡 Telecommunications
☁️ SaaS
🏢 Enterprise
💰 $50M Venture Round on 2009-08
• Work closely with Cloud product owners to understand, analyze product requirements, and provide feedback. • Architecture design and review of large scale microservices and data pipelines. • Leads the development of architectural design patterns. • Implement and enhance support tools for monitoring and acting on data pipeline issues to interpret trends and patterns. • Technical leadership of software design in meeting requirements of service stability, reliability, scalability, and security. • Guide all aspects of technical discussions within engineering and make technical recommendations. • Expert level working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro) and query engines (BigQuery, Athena, Presto, Dremio). • Experience in designing data streaming and event-based data solutions (Kafka, Kinesis, or like). • Experience building data pipelines (Flink, Pub/Sub, Dataflow). • Design and code review with peer engineers. • Guide testing architecture for large scale data ingestion and transformations. • Design scalable technology solutions that adjust to cyclical business patterns. • Keep abreast of latest trends and shifts within the technology and digital spaces. • Work effectively in areas of ambiguity and create solutions to complex problems. • Identify, communicate, and connect with key decision-makers and use strong influencing skills while partnering with cross-functional teams to drive and implement change.
• Bachelor’s degree in computer science or related field, Master’s degree preferred. • Minimum of 10 years progressive technical leadership experience in Enterprise and Solution Architecture. • 8+ years leading solution design of several large sized projects of moderate to high complexity, providing a baseline set of design artifacts for use by developers and engineers during construction. • 8+ years of experience working in either Java, Python, or GoLang. • 5+ years of experience in designing data streaming and event-based data solutions using Kafka, Flink, Spark, Pub/Sub Streaming or similar frameworks. • Strong understanding of distributed systems and microservices based architecture, business process orchestration tools like Conductor, Argo Workflow, Luigi, or Apache NiFI. • Experience providing thought leadership in technical architecture (e.g., tool selection, standards, strategic direction, etc.) having functioned as an Enterprise, Distinguished, or Chief Architect within a large organization. • Experience working as a hands-on enterprise application architect implementing architecture integration roadmaps through all phases of the project lifecycle. • Ability to create and maintain architectural models and technical design documentation, which includes current and future state process flows, applications/database objects, specifications that detail proposed database and/or data integration implementations. • Experience architecting data platforms, data operating models, data collection, dataflow management, master data management, data quality, and security. • Experience designing and developing scalable data pipelines, automated workflows/hand-offs, and API integrations. • Knowledge and experience designing cloud-native solutions with Google Cloud Platform. • Work experience with the cloud-based NoSQL like Cassandra, Elasticsearch or similar, relational DBs, cache frameworks like MemoryStore or similar, objects stores, datalakes and warehouses like BigQuery or similar. • Knowledge of traditional ETL/ELT techniques as well as cloud-based data pipelines (e.g., AirFlow, Dagster, Kafka). • History of introducing new/emerging technology to disrupt business models. • Proven success creating business-enabling technology roadmaps. • Organized and goal-focused, ability to deliver in a fast-paced environment. • The Open Group TOGAF 9 certification is a plus.
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