•Strong technology and leadership background building enterprise scale applications using Scala or Java, Spring, REST APIs, RDBMS, and Angular ,React. Machine Learning, Data Engineering (Hadoop, Hive, Spark), NoSQL, Kafka, and Data Pipelines desirable.
•Design and deploy data and pipeline management frameworks built on top of open-source components, including Hadoop, Hive, Spark, HBase, Kafka streaming and other Big Data technologies.
•Champion Design and Coding best practices while technically leading a small team.
•Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable.
•Familiarity or experience with data mining, data science, machine learning and statistical modeling (regression modeling, clustering techniques, decision trees, etc.) is preferred.
•Responsible for the design and implementation of innovative, scalable, and distributed systems that take advantage of technology to allow standardization, security, timeliness, and quality of data.
•Work with and manage remote teams.
•Work with product managers in developing a strategy and road map to provide compelling capabilities that helps them succeed in their business goals.
•Work closely with senior engineers to develop the best technical design and approach for new product development.
•Instill best practices for software development and documentation, assure designs meet requirements, and deliver high quality work on tight schedules.
•Project management like prioritization, planning of projects and features, stakeholder management and tracking of external commitments.
•Operational Excellence like monitoring and operation of production services.
•Identify opportunities for further enhancements and refinements to standards and processes.
•Mentor junior team members, develop departmental procedures and best practices standards.
•Hire and retain world class talents to deliver data platform projects.
•Strong Negotiation Skills, You will be a distinguished ambassador for product development, collaborating, negotiating, managing tradeoffs and evaluating opportunistic new ideas with business partners.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Basic Qualifications
•8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
Preferred Qualifications
•Bachelor degree in a technical field such as computer science, computer engineering, or a related field is required.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
