SMART Platform Lab Lead Jobs in Palo Alto, CA at NTT DATA Services
Title: SMART Platform Lab Lead
Company: NTT DATA Services
Location: Palo Alto, CA
Salary: $250K – $500K*
Category: Technical Services
NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a SMART Platform Lab Lead to join our team in Palo Alto, California (US-CA), United States (US).
Smart Platform Lab Lead will:
Assess and validate emerging edge (sensor, IoT), analytic (AI/ML), data science, and UI/UX technologies for integration into the SMART Platform
Bring new potential use cases to the SMART Platform by supporting rapid-prototype development and validating that proposed technical and functional requirements are met
Supports the development of Technical Specifications to assist the SMART Platform development team in accelerating development and time to market
Works closely with SMART Platform Product Management to ensure technical, functional and go-to-market requirements are aligned
Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.
Owns the development and maintenance of the SMART Platform Demo environments
Participation in pre-sales activities as needed
Incoming Smart Platform Lab Lead should possess:
15+ years of overall technology experience, with 7+ years of solution delivery and product management
Proven success driving technology application/solution development
Innovative leader with experience addressing technology trends and their practical use in driving business value
Preference for those who have deep domain expertise in analytics, IoT/AI, data science and related technology disciplines
Operated successfully in large-scale, highly complicated and global environments – Japan experience is a plus
Advanced technical degree preferred
Nice to have:
Experience with NoSQL databases, such as Cassandra, MongoDB, or CouchDB
Experience with various messaging systems, such as MQTT or RabbitMQ
Experience working in public cloud environments like AWS, Azure.
Experience with assisting Data Scientists with conforming and integrating data, data preparation and data cleansing, and then automating that work over time.
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with Cloudera/MapR/Hortonworks
Experience working in large-scale, highly complicated and global environments – Japan experience is a plus
A strong team-oriented mindset
Experience with SQL and RDBMS systems for analytic querying
Experience using various ETL techniques and frameworks, such as Flume and Informatica
Experience using Big Data querying tools and approaches including Parquet, Hive, and Impala
Valid through: 7/16/2020