This role focuses on designing, developing, and maintaining robust data solutions for data generation, collection, and processing. You will be instrumental in creating efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across various systems.

The position involves a deep dive into developing and migrating complex data-driven insights and knowledge engine interfaces that directly support organizational decision-making. You'll be responsible for deploying and maintaining these critical systems, ensuring their continuous availability and reliability.

A key aspect of this role is the integration of strong security measures and data privacy protections to safeguard sensitive information. Close collaboration with diverse teams is essential to align technical solutions with business needs, ensuring generated insights are actionable and drive strategic goals.

As a Subject Matter Expert (SME), you will lead the design and development of complex PLX-based dashboards, workflows, data processes, analytical tools, and automation solutions. You will translate functional and analytical requirements into scalable technical designs and implementation plans.

Your responsibilities include developing advanced SQL logic for large datasets, covering transformation, validation, optimization, metric calculation, and exception handling. You'll also build or guide Python-based automation, data validation, analytical processing, and repeatable workflows.

This role requires code reviews, SQL checks, and oversight of dashboards, workflows, documentation, and test outputs produced by other developers. You will provide technical direction on solution design, data model usage, workflow structure, performance, maintainability, and troubleshooting. Collaboration with stakeholders to clarify requirements and mentor junior developers are also key components.

Candidates must possess proficiency in Oracle Procedural Language Extensions to SQL (PLSQL) and advanced SQL skills, including complex joins, window functions, performance-aware query design, and data transformation logic. Strong Python capabilities for analysis, automation, and validation are essential.

We are looking for individuals with strong experience in building analytics, BI, dashboards, workflows, or automation solutions on large datasets. A practical understanding of data modeling, reporting architecture, ETL/ELT concepts, workflows, and BI delivery is required.

This role demands the ability to adapt quickly to PLX and Google internal analytics platforms. A good understanding of business analytics and the ability to align technical design with stakeholder outcomes are crucial. Experience in guiding developers, reviewing outputs, enforcing quality, and troubleshooting complex issues is expected. Exposure to BigQuery, Looker, Vertex, or GCP tools is beneficial but secondary to PLX-first delivery capability.