Data Architect

Position Summary

Lakehouse Design & Implementation

• Lead the end-to-end development and deployment of a scalable and secure Lakehouse architecture.
• Define best practices for data ingestion, storage, transformation, and processing using modern cloud technologies.
• Architect data pipelines using ETL/ELT frameworks to support structured, semi-structured, and unstructured data.
• Optimize data modeling strategies to meet the analytical and performance needs of stakeholders.
• Evaluate and select appropriate cloud technologies, frameworks, and architectures.
  

Requirement

• 8+ years of experience in data engineering, with a proven track record of implementing large-scale data solutions.
• Extensive experience with cloud platforms (AWS, GCP, or Azure), specifically in data warehouse/lakehouse implementations.
• Expertise in modern data architectures with tools like Databricks, Snowflake, or BigQuery.
• Strong background in SQL, Python, and distributed computing frameworks (Spark, Dataflow, etc.).
• In-depth knowledge of data modeling principles (e.g., Star Schema, Snowflake Schema).
• Experience in enabling AI tools to consume data from the Lakehouse.
  

About Aumni Techworks

Benefits Of Working At Aumni Techworks

• Work within a product team on cutting edge tech with one of the best pay packages.
• No politics, no bench, voice your opinion, flat hierarchy, and global exposure
• Work environment to re-live our fun college days (awarded as Best culture by Pune Mirror)
• Recharge frequently with Friday socials, dance classes, theme parties and monsoon picnic.
• Breakout spaces at the office – Gym, Pool, TT, Foosball and Carrom
• Health focused – Insurance coverage and get in shape with AumniFit (Do not miss our 4 PM plank!)