Job Description

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.

Responsibilities

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.

Qualifications

Career Level - IC4

About Us

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [HIDDEN TEXT] or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Principal Data Systems Software Engineer