The Challenge

• As Staff Software Engineer provides the strategic and technical vision.
• Contributes to plans for developing new and significant product opportunities and/or for expanding existing efforts
• Expected to identify and evaluate implications of engineering advances for business opportunities.
• Contributes to defining the vision and leads engineering efficiency efforts across the onetrust products.
• Participate in strategic discussions on programs impactful for the company, help with career growth of your team members, assess other technical leaders for promotion readiness, influence other Director / VP organizations

Your Mission

• Has deep knowledge of entire system and design solutions to large complex features affecting multiple systems and/or third-party integrations.
• Sets product direction and has ownership over large components. Thinks both strategically and tactically, keeping in mind both technical goals and company goals.
• Given long term strategic goals, and trusted advisor from a customer perspective. Champions customer insights and provides innovative solutions to customer requests.
• Recognizes trends and industry directions and takes proactive measures to influence product and engineering roadmap.
• Build strong relationships in their own team and across the company. Understands multiple points of view and drives a process to conclusions quickly and respectfully.
• Mentor others with high-level technical guidance. Improve the company’s technical prowess. 
• Put customers first and set strategic short-term targets. 
• Design and build high-performance systems.
• Create and support 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.
• Conceives product and service architecture.
• Ensures scalability, availability, reliability, and ease of operations.
• Recommending recent technologies that can help increase productivity.
• Supervising and overseeing the technical aspects of projects.
• Mentoring/training an engineering community on development best practices.
• Research and collect product information and support the development of specifications and requirements for consideration.

You Are

• High technical and/or technological competence
• Strong documentation, analytical and problem-solving skills
• Bachelor's degree or above in computer science, Engineering, or related technical field 
• Minimum of 16 years of hands-on experience with Java based development projects using RESTful APIs, SpringBoot, Micro services.
• Strong analytical skills.
• Good communication skills.
• Extensive experience in building distributed and parallel data processing platforms.
• Extensive Data Engineering experience in building low-latency, high throughput Data Pipelines that power Data Lake and Data Warehouse Solutions.
• Strong knowledge of data structures, algorithms, asynchronous architectures, and distributed algorithms.
• Experience with fault tolerant message queuing/brokering systems (e.g., AMQ, RabbitMQ, zeromq, Kafka)
• Experience in designing data streaming and event-based data solutions using Kafka, Kinesis, Flink, Spark or similar frameworks.
• Experience using different storage technologies such as MongoDB, Cassandra, CockroachDB, CouchDB
• Experience in integrating application with indexed search services such as Elasticsearch, Solr
• In-depth knowledge of system programming.
• Experience mentoring/training an engineering community on development best practices.
• Ability to create and support 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.
• Excellent leadership, verbal, and written communication skills

Extra Impressive

• Master's degree in Computer Science, Engineering, or related technical or business field
• Expertise with running web services at scale.
• Deep understanding of system performance tradeoffs, load balancing, and engineering for high availability.
• Experience with serverless computing, Lambda functions, and cloud-based event-driven architectures.
• Understanding of graph data modeling, graph schema development, graph data design