At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
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.
Your Impact:
- 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.
Your Qualifications:
- 10+ years of software engineering experience, with 5+ years 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.
Preferred Qualifications:
- Experience with data lakehouse and warehouse architectures and tools like Databricks, Delta Lake, Apache Iceberg, and Unity Catalog.
- Experience with ETL, ELT, data quality, data management platforms, and solutions
- Experience with data products that support BI tools, dashboards, and analytics, such as Tableau, Power BI, or similar, including support for ad hoc querying, semantic layers, and AI-enhanced insights.
- Experience with OLAP / multi-dimensional databases, query engines, and models.
- Experience with enterprise planning analytics platforms, such as Anaplan or similar.
- Contributions to open-source data or analytics projects or active involvement in data engineering communities.
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Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to [email protected] before taking any further action in relation to the correspondence.
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