PDI Technologies Benefits Overview

Lead a team of 10+ data engineers while remaining hands-on in architecture, design, and code. Own a unified ingestion framework, Spark streaming pipelines, Apache Iceberg lakehouse, dbt modeling standards, Trino query performance, reliability SLOs, observability, cost optimization, and 24x7 on-call operations. Partner cross-functionally on roadmap decisions and build scalable, standardized data platform infrastructure with strong incident-management practices.

Designs and deploys AI-enabled platform capabilities, integrating LLMs, prompt engineering, RAG, embeddings, and intelligent workflows. Builds AI evaluation and validation frameworks alongside scalable QA automation for APIs, microservices, distributed systems, and platform services. Integrates automated testing into CI/CD pipelines, validates reliability and performance, and collaborates with engineering, product, data, and platform teams. Provides technical leadership on AI engineering, automation, and quality standards.

Develop and maintain PDI software products, participate in application design, troubleshoot and debug issues, perform engineering-level testing, and collaborate with Product Owners and QA Engineers in an Agile environment. The role includes estimating feature work, documenting solutions, assessing project risks, validating requirements, and applying software engineering fundamentals across web stacks and relational databases.