Description

You will design and implement scalable data architectures to support multi-modality use cases and modernize existing RDBMS systems.

Responsibilities

• Redesign and modernize data schemas to support scalability and multi-modal data types including text, images, and audio.
• Develop detailed migration plans for transitioning data from RDBMS to cloud-native platforms like BigQuery or Snowflake while ensuring integrity and minimal downtime.
• Optimize database performance through advanced indexing, partitioning, sharding, and query refactoring.
• Collaborate with engineering, analytics, and AI/ML teams to align architecture with technical requirements and enforce data governance.
• Lead the development of data warehousing, ETL/ELT processes, and architectural blueprints.

Required Skills

• 5+ years of experience in data architecture and design.
• Deep expertise in relational databases including MySQL, PostgreSQL, and Oracle.
• Hands-on experience with cloud-based platforms such as Google BigQuery, Snowflake, or AWS Redshift.
• Proficiency with Apache Flink, Kafka, and SQL.
• Experience with NoSQL solutions including MongoDB and DynamoDB.
• Strong knowledge of ETL/ELT pipelines and tools like Apache Airflow or DBT.
• Proven ability in schema redesign, migration strategies, and data modeling.
• Ability to implement performance monitoring and identify system bottlenecks.

Preferred Skills

• Experience automating migration processes in coordination with DevOps teams.
• Background in providing technical mentorship to junior engineers.

Key Skills

Education

Any Gradute