Data Architect
1 week ago
The Role
• Architectural Leadership: Lead the architecture, design, and development of big data streaming systems and business data consolidation based on business priorities and cost optimization.
• IoT System Design: Design IoT systems to facilitate communication and data movement between vehicles and the cloud.
• Technology Utilization: Leverage cutting-edge distributed big data technologies such as Docker, Kubernetes, Spark, MQTT, gRPC, rosbag, Kafka, S3 Data Lake, and video/audio processing.
• Team Leadership: Act as a hands-on technical leader, guiding the team in making key architectural decisions, unblocking challenges, and ensuring successful execution.
• Technical Direction and Roadmaps: Set technical direction and roadmaps, guiding the evolution of our data systems to meet future business needs.
• Application Architecture: Collaborate on application architecture and deep understanding of cloud data applications.
• Vision and Roadmap Development: Develop, communicate, and advocate for the long-term technical vision and roadmap for data storage, ingestion, and retrieval in collaboration with technical leads.
• Strategic Vision for Data Integration: Drive the technical and strategic vision for our data platform and work closely with the infrastructure team to meet current and future scalability and interoperability needs.
Qualifications
• B.S. or M.S. in Computer Science or a related field.
• 10+ years of hands-on industry experience in data architecture or software engineering.
• 3+ years of experience architecting solutions for big data environments.
• Deep knowledge of modern data/compute infrastructure and frameworks, such as Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, rosbag, MQTT, and gRPC.
• Proven experience in architecting streaming, real-time, and near real-time data pipelines using tools like Spark or Kafka.
• Working knowledge of data lake architectures with Parquet and HCatalog.
• Ability to cultivate a strong sense of ownership and build a culture of accountability within the team.
• Openness to new ideas and the ability to evaluate multiple approaches, selecting the best based on fundamental qualities and supporting data.
• Exceptional communication skills to articulate highly technical problems and solutions to diverse audiences, from engineers to executive leadership.
• Proven track record of setting technical vision and delivering results in a collaborative, cross-functional environment.
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