As a Senior Software Engineer – Data at GoDaddy, you will design, build and maintain robust data pipelines for ingestion, transformation, and analytics using Spark, Airflow, and streaming technologies like Kafka/Kinesis. Your role includes developing and supporting APIs, utilities, and microservices to enable data access for internal applications and machine learning products. You will write reliable, production-ready code for batch and real-time data processing, build and handle data models, metrics, and feature stores to drive recommendations, personalization, and analytics. Ensuring data quality, observability, and lineage will be part of your responsibilities as you collaborate with multifunctional teams to deliver impactful, data-driven solutions. Experience required includes 4+ years building data-intensive distributed systems and production-grade pipelines in the cloud (AWS preferred), proficiency in Python, Java or Scala, experience with Spark/EMR, Glue, Airflow and streaming systems such as Kafka or Kinesis, strong SQL skills, familiarity with CI/CD automation, Docker/Kubernetes, and API development standards. Bonus skills include experience with search technologies like Open Search or Elastic Search, familiarity with machine learning and AI pipelines, and knowledge of data governance and quality frameworks. A BS/MS in Computer Science, Data Engineering, or related field is expected. GoDaddy offers a diverse culture, total rewards including paid time off, retirement savings, equity grants, employee stock purchase plan, health benefits, and family-friendly policies including parental leave. The company is committed to diversity, equity, inclusion, and belonging and is an equal opportunity employer supporting applicants with criminal histories consistent with local and federal laws.