Principal Software Engineer, Anaplan

• Software engineering experience, with experience related to data processing systems
• Deep knowledge of software engineering principles and best practices, particularly in Python, Java, or similar backend technologies
• Demonstrated experience in a principal or technical lead role, with a track record of guiding architecture decisions, mentoring engineers, and driving technical execution
• Expertise in designing and implementing distributed systems, cloud-native architectures in AWS, Azure, and/or GCP, and cloud-hosted containerized systems using Kubernetes, Docker, or similar
• Extensive experience designing, building, and operating public and internal HTTP / RESTful APIs, supported by synchronous and asynchronous microservices architectures. Knowledge of GraphQL is a plus
• Strong understanding of distributed systems, microservices architectures, and the challenges of building high-throughput, low-latency systems to support short- and long-running processes at scale
• Hands-on experience with event-driven platforms like Apache Kafka, RabbitMQ, Apache Pulsar, and other messaging systems for system integrations and real-time data streaming
• Strong background in processing large batch and streaming datasets, and building data pipelines using platforms like Apache Spark, Apache Flink, Databricks, or similar platforms
• High proficiency in Python and/or Java; experience with additional languages such as Rust, Scala, and Kotlin is a plus
• In-depth knowledge of security practices in cloud environments, including identity management, encryption, and secure application development. Experience with securing APIs and cloud-native systems
• Understanding of data lakehouse and warehouse architectures and tools like Databricks, Delta Lake, Apache Iceberg, and Unity Catalog
• Understanding of data products that support BI tools, dashboards, and analytics, including support for ad hoc querying, semantic layers, and AI-enhanced insights
• Understanding of ETL, ELT, data quality, data management platforms, and solutions
• Familiarity with modern data governance and security practices for enterprise systems
• Strong problem-solving and communication skills

Desirable

• We seek a Principal Software Engineer with deep experience designing and building modern, cloud-native platforms to support customer-defined data integration and planning analytics solutions
• In this role, you will lead architecture and development efforts for highly scalable, reliable, and secure systems that support enterprise data connectivity, transformation, integration, cataloging, governance, and analytics
• Strategic Technical Leadership: Lead the long-term technical direction of the engineering team, driving the evolution of scalable, high-performance systems using cloud engineering and DevOps best practices
• Collaborate with senior leadership and cross-functional teams to define and execute the company’s technical vision, aligning engineering efforts with broader business goals and customer success
• High-Performance at Cloud Scale: Design and implement cloud-native architectures that are globally scalable, resilient, and optimized for high availability, disaster recovery, and low latency
• Lead the development of modern, secure, and scalable systems using AWS, GCP, Azure, or similar cloud platforms
• Customer Facing Product: Deliver product capabilities that enable customers to build and manage scalable data pipelines and data analytic solutions that support strategic, ad hoc, and AI-driven data analytics using technologies such as Apache Spark, Apache Flink, Unity Catalog, Apache Hive, Databricks, Apache Iceberg, and Delta Tables
• Innovation and Research: Drive innovation by researching and integrating cutting-edge technologies into the tech stack
• Stay up-to-date with the latest trends in software engineering, cloud computing, and data processing
• Champion adopting best practices and innovative solutions to keep the company ahead of the technological curve
• Mentorship & Team Leadership: Provide technical leadership and mentorship to junior, mid-level, and senior engineers
• Promote best practices in coding, architecture, and system design
• Foster a culture of ownership, innovation, and continuous improvement