Description

Responsibilities:

✔ Architect enterprise-scale distributed data platforms

✔ Build high-performance data pipelines using PySpark

✔ Design Data Lakehouse solutions using Apache Iceberg

✔ Develop federated query architectures with Trino (Presto)

✔ Lead cloud migration and data modernization initiatives

✔ Mentor engineering teams and drive technical best practices

✔ Partner with customers, architects, and business stakeholders

Required Skills:

✅ PySpark / Spark SQL

✅ Apache Iceberg

✅ Trino / Presto

✅ Data Lakehouse Architecture

✅ AWS / Azure / GCP

✅ Airflow

✅ Parquet / ORC / Avro

✅ SQL & Data Modeling

✅ CI/CD, Git, DevOps

Preferred:

⭐ Enterprise architecture experience

⭐ Customer-facing consulting or solution design

⭐ AI/ML & analytics platform exposure

Key Skills

Education

Not specified