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.