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Agentic AI-Enabled Snowflake Data Engineer
NTT Data Americas, Inc.
- United States
- United States
About
Hybrid/Onsite in Warren, NJ
1yr Duration
W2 Only - Must be able to work directly with NTT Data on Temp W2 | No C2C
NTT DATA 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 Agentic AI-Enabled Snowflake Data Engineer to join our team in Nashville, Tennessee (US-TN), United States (US).
Job Description:
Job Duties:
Agentic AI-Enabled Snowflake Data Engineering Lead
Expanded Responsibilities of the Proposed Role
A.
Core Snowflake Data Engineering (Primary) Design and optimize Snowflake-native data pipelines and models Implement governed data layers supporting multiple Mitsui business domains Enable high-quality, AI-ready datasets across investment portfolio entities
B.
Agentic AI Enablement (Strategic Extension) Prepare Snowflake architecture for future agent frameworks (e.g., orchestration-ready semantic layers) Integrate structured and unstructured data to support autonomous AI agents Evaluate use cases such as: Supply chain optimization agents -Investment intelligence copilots -Portfolio company analytics assistants
C.
AI/ML Collaboration Bridge Act as the technical bridge between: Data engineering teams -Data science / AI teams Business domain stakeholders across Mitsui entities Ensure Snowflake data models are directly consumable by AI/agent pipelines
This Snowflake-focused data engineering resource is okay to have complementary AI/ML exposure:
Strong expertise in Snowflake (primary skill requirement).
Familiarity with AI/ML concepts; direct agentic AI experience is not mandatory given how new Snowflake's agent capabilities are.
Minimum Skills Required:
8+ years Strong expertise in data engineer, with 6+ years of experience with Snowflake (primary skill requirement
1-2 years Familiarity with AI/ML concepts nice to have; direct agentic AI experience is not mandatory given how new Snowflake's agent capabilities are.
Desired profile summarized:
Snowflake experience (6-8 years) + exposure to AI/ML (~1-2 yrs) + knowledge of agentic AI concepts (~1 year).
Mitsui is prioritizing: Robust data engineering foundations, ability to support future AI/agentic use cases rather than needing deep hands-on agent development immediately
#LI-NorthAmerica
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Languages
- English
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