Principal Software Engineer

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading 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 that 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 have fun celebrating our wins.

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 be your best self!

We seek a Principal Software Engineer with deep experience in designing and building modern, cloud-native data analytics and management 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:

• Architect and develop robust, scalable cloud-based data platform products for enterprise customers.
• Design and implement systems for data ingestion, transformation, cataloging, and governance.
• Provide technical leadership on data architecture, cloud engineering, and DevOps best practices.
• Collaborate with cross-functional teams—including product management, data engineering, UX design, data science, and customer success—to deliver user-centric, impactful solutions.
• Partner with management and engineering infrastructure teams to estimate, monitor, and optimize cloud infrastructure and platform costs.
• Mentor and guide engineers through technical leadership, including reviewing code changes to ensure adherence to best practices, performance standards, and code quality.
• Develop product capabilities for scalable data pipelines, data integration, and data management workflows using technologies such as Apache Spark, Unity Catalog, Apache Hive, Databricks, Apache Iceberg, Delta Tables, and Python.
• Build systems and services that support ad hoc and AI-driven data analytics, reporting, and BI solutions, enabling users to derive insights through intuitive interfaces and semantic models.
• Lead performance optimization, security enforcement, and reliability improvements.
• Stay up-to-date with advancements in cloud, data, and AI technologies to drive innovation and continuous improvement.

Your Qualifications:

• 10+ years of software engineering experience, with 5+ years in data-focused roles.
• Proven experience designing and implementing cloud-native data solutions in AWS, Azure, and/or GCP.
• Strong expertise in distributed data processing frameworks like Apache Spark.
• Deep understanding of data lakehouse architectures and tools like Databricks, Delta Lake, Apache Iceberg, and Unity Catalog.
• Experience building data products that support BI tools, dashboards, and analytics, including support for ad hoc querying, semantic layers, and AI-enhanced insights.
• Experience building and/or using ETL, ELT, data quality, data management platforms, and solutions
• Proficient in Python; experience with additional languages such as Scala or Java is a plus.
• Hands-on experience with data integration, transformation, and cataloging tools.
• Familiarity with modern data governance and security practices for enterprise systems.
• Strong problem-solving and communication skills.
• Demonstrated experience in a principal or technical lead role, with a track record of guiding architecture decisions, mentoring engineers, and driving technical execution.

Preferred Qualifications:

• Experience with BI platforms such as Tableau, Power BI, or similar.
• Experience with OLAP / multi-dimensional databases, query engines, and models
• Experience with enterprise planning analytics platforms, such as Anaplan or similar.
• Background in building analytics and reporting solutions that leverage machine learning or generative AI to enhance user experience.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• 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 

Build your career in a place that thrives on diversity, equity, inclusion, and belonging. 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 people@anaplan.com before taking any further action in relation to the correspondence.