Data Engineering Lead/Architect Snowflake & AIYears of Experience: 10+ YearsJob Summary
We are seeking a Data Engineering Lead/Architect with extensive hands-on Snowflake expertise and a proven track record in designing scalable, client-facing data solutions. This role requires a hands-on engineer who can lead solution development while actively contributing to the implementation of data engineering projects.
Key Responsibilities
- Design and implement end-to-end Snowflake data platforms tailored to client needs.
- Define architecture for data ingestion, transformation, modeling, and consumption.
- Implement Medallion Architecture (Bronze, Silver, Gold) to enhance data quality and accessibility.
- Work hands-on with Snowflake features including Streams, Tasks, Dynamic Tables, and Snowpark.
- Drive performance optimization and cost efficiency across data solutions.
- Apply Snowflake Cortex / Intelligence in real-world use cases to enhance data processing.
- Leverage AI pair programming tools to improve productivity and code quality.
- Collaborate directly with clients and stakeholders, translating business needs into effective data solutions.
- Mentor team members and enforce best practices in data engineering.
Mandatory Skills
- Solid hands-on Snowflake implementation experience is a deal breaker.
- Expertise in Data Modelling, ETL/ELT processes, and performance tuning.
- Experience with Medallion Architecture and its implementation.
- Hands-on experience with Snowflake Cortex / Intelligence for data optimization is added advantage, but familiarity is must.
- Experience with AI pair programming tools such as Claude and Copilot.
- Strong SQL skills and problem-solving capabilities.
- Proven client-facing experience with a focus on delivering solutions.
Note: This position requires readiness to work in shifts starting between 3-4 pm & ending at 12-1 AM IST. It's an ask for 2-3 months, and will be regular shift after the given period.
Preferred S
📌 TECHNICAL LEAD (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru
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