• Work with modern data stack and AI tools to build complex solutions • Design solutions to technical challenges and influence platform architecture • Research, develop and integrate new data processing tools and technologies • Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies • Ensure pipeline performance and data quality through scalable architecture and optimization • Refine data solutions as business requirements and technical constraints evolve • Collaborate with teams to understand data needs and support adoption of data products across the company

• Design, develop, and maintain robust, scalable, and efficient data pipelines on Google Cloud Platform (GCP), with a strong focus on BigQuery. • Proven experience managing cross-functional teams, preferably with a focus on data engineering. • Ability to negotiate and manage requests, including handling client escalations. • Implement and manage data ingestion processes from ERP systems, non-systematic files, and APIs. • Create, optimize, and document dimensional data models and analytical solutions within a Lakehouse architecture. • Collaborate with analytics, data science, and product teams to enable advanced analyses. • Ensure data quality, governance, and security throughout the data lifecycle. • Orchestrate and monitor ETL/ELT processes using Informatica Cloud. • Implement data engineering best practices, including versioning, automation, and testing.

• Develop and maintain Looker data models, including LookML, models, and explores • Build and optimize scalable, consumable data models • Utilize Looker API 4.0 to enable programmatic access • Automate report generation and delivery using Looker API endpoints • Write and optimize complex SQL queries • Work with Snowflake, dbt, and Python to support data transformation • Collaborate with stakeholders to translate data requirements into scalable BI solutions • Ensure data accuracy, consistency, and performance across reporting layers

• Operates as a technology expert and architect responsible for design, development, and implementation of enterprise-scale data solutions. • Confers with customers and team members to determine requirements; designs application systems • Assists manager in preparation of annual budgets and monthly cost allocations • Provides 24-hour on call support, including evenings and weekends