Principal Data Systems Software Engineer

Principal Data Systems Software Engineer

We are looking for a highly skilled software engineer to build next-generation AI data platforms and lakehouse solutions. The ideal candidate will have deep expertise in database technologies, modern data warehouses, open table formats, distributed data processing, and cloud-native software engineering.

Key Responsibiliites:

• Design and develop scalable AI data platforms and lakehouse architectures.
• Build high-performance data ingestion, storage, and analytics solutions.
• Develop cloud-native services for enterprise-scale data processing.
• Optimize database performance and query execution across heterogeneous data sources.
• Drive architecture, technical design, and engineering best practices.

About the role:

We are looking for a highly skilled software engineer to build next-generation AI data platforms and lakehouse solutions. The ideal candidate will have deep expertise in database technologies, modern data warehouses, open table formats, distributed data processing, and cloud-native software engineering.

Key Responsibilities:

• Design and develop scalable AI data platforms and lakehouse architectures.
• Build high-performance data ingestion, storage, and analytics solutions.
• Develop cloud-native services for enterprise-scale data processing.
• Optimize database performance and query execution across heterogeneous data sources.
• Drive architecture, technical design, and engineering best practices.
• Required qualifications
• 10+ years of software engineering experience building enterprise data platforms.
• Strong expertise in Oracle and other relational/analytical databases (PostgreSQL, MySQL, SQL Server, Snowflake, Redshift, BigQuery, etc.).
• Solid understanding of data warehouse concepts, ETL/ELT, dimensional modeling, and lakehouse architectures.
• Hands-on experience with Apache Iceberg, Parquet, Avro, and related open table/file formats 
• Experience with distributed data processing frameworks such as Apache Spark, Trino/Presto, Kafka, or Flink.
• Strong programming skills in Java and/or Python (Scala, Go, or C++ is a plus).
• Good understanding of database internals, SQL optimization, indexing, partitioning, transactions, and performance tuning.
• Experience building cloud-native applications on OCI, AWS, Azure, or GCP.
  

Preferred qualifications

• Bachelor's or Master's degree in Computer Science or a related field from a reputed institution with a strong academic record.
• Familiarity with AI/ML data pipelines, vector databases, and modern AI data architectures is a strong plus.

 

Career Level - IC4

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Experience Level

Senior Level