Anaplan
Principal Data Engineer
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Principal Data Engineer – Anaplan
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform, enabling our customers to 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, including Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer — 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, behave like leaders regardless of title, commit to ambitious goals, and love celebrating wins—big and small.
Supported by operating principles of being strategy-led, values-based, and disciplined in execution, you’ll thrive in an environment that inspires connection, development, and rewards.
About the Role
We’re seeking a Principal Data Engineer who can work across the full stack of Anaplan’s data platform, setting the technical direction for how we ingest, transform, store, serve, and govern data at scale. You will build highly performant, robust data pipelines that process massive volumes of data in real-time and batch. This foundational work empowers business users to leverage vast datasets in their planning workflows and forms the bedrock for our advanced analytics and AI initiatives.
To excel in this role, you’ll require deep knowledge of distributed computing, data architecture, and strong software engineering skills to tackle complex, high-scale data challenges.
Your Impact
- Lead data architecture, design, and deployment of scalable, high-throughput Big Data systems into production environments.
- Architect, deploy, and manage foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases.
- Develop end-to-end data engineering solutions, including:
- Robust ETL/ELT pipelines
- API services
- Data ingestion frameworks
- Design and build the storage and processing layers powering our analytics workloads:
- Data lakes
- Data warehouses
- Distributed file systems
- Real-time streaming architectures
- Engineer feature-rich context pipelines that process large-scale enterprise data, balancing batch and streaming patterns.
- Optimise and scale large distributed queries and data transformations, ensuring high performance and low latency for end users.
- Implement data quality frameworks to measure and ensure data integrity, reliability, and governance across all data assets.
- Collaborate with analytics, product, and platform teams to build data models capturing customer metrics, hierarchies, and relationships.
- Stay current with the modern data stack and big data landscape, evaluating new tools, distributed computing frameworks, and database technologies for adoption.
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Your Skills
Essential
✔ Extensive data engineering experience, with a strong track record of hands-on execution in complex data environments. ✔ Deep practical knowledge of database ecosystems for AI and machine learning infrastructure (e.g., vector databases, NoSQL, document stores). ✔ Hands-on experience building, scaling, and shipping large-scale data platforms in production. ✔ Strong expertise in distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop). ✔ Proficiency in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis). ✔ End-to-end exposure to the data pipeline lifecycle, including experience with workflow orchestration tools (e.g., Apache Airflow, Dagster). ✔ Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg). ✔ Advanced SQL skills and Python proficiency. ✔ Strong background in modern software development practices (testing, code review, CI/CD, Infrastructure as Code).
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Desirable
✔ Progressive leadership experience in technical projects and mentoring engineering teams. ✔ Hands-on experience with cloud-native infrastructure (AWS, GCP, Azure). ✔ Experience implementing data observability, monitoring, and alerting frameworks at scale. ✔ Familiarity with Anaplan or similar enterprise planning platforms.
Our Commitment to Diversity, Equity, Inclusion & Belonging (DEIB)
We believe attracting and retaining the best talent, while fostering an inclusive culture, strengthens our business. DEIB improves our workforce, enhances trust with partners and customers, and drives innovation.
At Anaplan, we create an environment where diversity, equity, inclusion, and belonging aren’t just words—they define how we connect, innovate, and lead.
We hire for who you are and encourage you to bring your authentic self to work every day!
- We ensure individuals with disabilities receive reasonable accommodation when applying, interviewing, or performing essential functions.
- For accommodation requests, please contact us directly.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent job opportunities are being circulated online. Prospective candidates may receive unsolicited contact (emails, calls) claiming to represent Anaplan.
Anaplan does NOT:
- Provide job offers without a structured interview process with recruitment and hiring managers.
- Send verbal or written offers via email—all offers are first discussed verbally and documented in writing.
- Authenticate emails from non-@anaplan.com addresses.
If you’re unsure about a correspondence purporting to be from Anaplan, email people@anaplan.com before responding.
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