Data Architect - Looker

Job Description Key Responsibilities • Architect and maintain scalable data solutions and ETL pipelines within GCP, with a focus on BigQuery. • Design and execute A/B tests and experimentation frameworks to evaluate product features and user behavior. • Analyze behavioral data to uncover actionable insights that drive business and product decisions. • Build and maintain LookML views, explores, dashboards, and persistent derived tables. • Develop intuitive dashboards in Looker, following visualization best practices. • Collaborate with cross-functional teams including product managers, engineers, and business stakeholders to define metrics and reporting needs. • Translate business requirements into technical specifications and data models. • Ensure data quality, integrity, and governance across systems and processes. • Utilize Looker’s API and SDK for automation, embedding, and advanced integrations. • Manage cloud data ingress and egress using tools such as gcloud, gsutil, and bq command-line utilities. Required Skills and Experience Required Skills & Qualifications • Proven experience in data architecture, data analysis, or hybrid roles within GCP. • Strong proficiency in SQL and data modeling, especially with BigQuery. • Advanced skills in LookML and Looker dashboard development. • Expertise in behavioral analytics, A/B testing, and experimentation methodologies. • Experience with BI tools such as Looker, Tableau, or Power BI. • Familiarity with GCP command-line tools (gcloud, gsutil, bq). • Excellent communication skills. Nice to Have Skills and Experience • Experience in e-commerce, fintech, or payments industry. • Prior exposure to FPTI data. • Knowledge of Python or R for statistical analysis. • Familiarity with data governance and compliance standards. • Experience with Hadoop, Spark/Hive, or UC4 scheduling tools. Compensation - $50-$60/hour