Overview
Skills
Job Details
Location: Sunnyvale CA
Skill Matrix Rating is needed for the below areas:
| Skill Area | Specific Skill | Description | Rating |
| Data Engineering | Data Pipeline Review | Ability to review ETL processes and identify architectural or quality issues |
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| Data Aggregation & Semantics | Understand and optimize data aggregation logic and business semantics |
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| Snowflake (Data Warehouse) | Hands-on experience with data modeling, performance tuning, and secure data sharing in Snowflake |
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| Analytics & Reporting | Tableau Dashboard Creation | Design and build interactive, insightful dashboards using Tableau |
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| AI Foundations | AI Project Management | Experience leading and delivering AI projects from planning to production |
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| LLM Model Experience | Practical use or integration of Large Language Models. |
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| RAG (Retrieval-Augmented Generation) Development | practical knowledge of RAG pipelines |
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| Leadership & Oversight | Technical Review & Mentorship | Guide architecture, code reviews, and best practices for the engineering team |
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Key Responsibilities:
- Coordinate multiple workstreams in parallel, ensuring timely and high-quality delivery.
- Conduct and facilitate daily stand-ups across global time zones, maintaining visibility and accountability.
- Deeply understand business domains and the technical architecture, enabling informed decision-making and risk identification.
- Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate goals into actionable plans.
- Track progress using Agile or hybrid methodologies, escalating blockers and resolving dependencies.
- Own the lifecycle of tasks - from planning through execution, delivery, and retrospectives.
- Perform technical reviews of data pipelines and ETL processes, identifying architectural or data quality issues.
- Evaluate and optimize data aggregation logic while ensuring alignment with business semantics.
- Contribute to the design and development of Retrieval-Augmented Generation (RAG) pipelines and workflows involving Large Language Models (LLMs).
- Ability to create Tableau reports and dashboards aligned with business KPIs.
Required Skills:
- Strong grasp of data pipelines, data architecture, and analytics platforms (e.g., Snowflake, Tableau).
- Experience in reviewing and optimizing data transformations, aggregations, and business logic.
- Hands-on familiarity with LLMs and practical implementation of RAG-based AI systems.
- Familiarity with AI/ML workflows, model lifecycle, and experimentation frameworks.
- Experience managing complex, multi-track projects.
- Skilled in project tracking tools like Jira, Confluence, or equivalent.
- Excellent communication and coordination across technical and non-technical teams.
- Proven experience working with cross-functional, globally distributed teams.