Data Architect Lead
17 hours ago
Zobility's Cloud Data Engineer
Estimated Salary: $150,000 - $200,000 per annum.
About the Role
We are seeking an experienced Data Architect Lead to join our team at Zobility. As a key member of our cloud data engineering team, you will be responsible for leading the architecture, design, and development of big data streaming systems and business data consolidation.
Key Responsibilities
- Lead architectural leadership: Oversee 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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