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!
- Lead the data architecture, design, and deployment of scalable, high-throughput Big Data systems into production environments.
- Architect, deploy, and manage the 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, and data ingestion frameworks.
- Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed file systems, and real-time streaming architectures.
- Engineer feature-rich context pipelines that process large-scale enterprise data, balancing batch and streaming patterns seamlessly.
- Optimize and scale large distributed queries and data transformations to ensure 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 that capture the semantics of 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 potential adoption.
- 7+ years of dedicated data engineering experience, demonstrating a strong track record of hands-on execution and delivery in complex data environments.
- Deep practical understanding of the database ecosystems that power AI and machine learning infrastructure (e.g., Vector databases, NoSQL, and Document stores).
- Hands-on experience building, scaling, and shipping large-scale data platforms in production.
- Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).
- Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).
- End-to-end exposure to data pipeline lifecycle development, including extensive 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 proficiency in Python, Scala, or Java.
- Strong background in modern software development practices (testing, code review, CI/CD, Infrastructure as Code).
- Extensive, progressive experience leading technical projects and mentoring engineering teams.
- Hands-on experience with cloud-native infrastructure (AWS, GCP, or Azure).
- Deep understanding of dimensional data modeling and warehouse optimization techniques.
- Experience implementing data observability, monitoring, and alerting frameworks at scale.
- Background in enterprise software, planning, or financial analytics applications.
- Familiarity with Anaplan or similar enterprise planning platforms.
- Lead high-impact projects, building scalable data architectures from the ground up.
- Work on cutting-edge Big Data technologies and the systems that power modern AI infrastructure.
- Build foundational data platforms that directly impact how global enterprises plan and make critical business decisions.
- Tackle unique scaling challenges dealing with massive, complex enterprise datasets.
- Collaborate with talented software engineers, product managers, and analytics experts.
- Solve highly complex challenges at the intersection of big data infrastructure and enterprise software.
#LI-SP1
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.
Skills Required
- Extensive data engineering experience delivering complex projects
- Hands-on experience building and shipping AI/ML products in production
- Practical experience with LLM-based systems including RAG, embedding pipelines, prompt and response logging, and evaluation frameworks
- Hands-on expertise with vector databases, graph databases, and knowledge graphs
- End-to-end exposure to model development lifecycle, including training and deploying ML models to production
- Solid knowledge of LLM APIs, prompt engineering, and conversational AI patterns
- Strong expertise in MLOps and LLMOps for scalable, reliable, monitorable model deployments
- Proficiency in Python and modern software development practices (testing, code review, CI/CD)
- Experience engineering feature and context pipelines at scale, balancing batch and streaming patterns
- Experience with cloud-native ML infrastructure platforms
- Familiarity with specific vector databases and embedding models (e.g., Pinecone, Weaviate, Qdrant)
- Experience with model serving frameworks (e.g., vLLM, TensorRT, Ray)
- Background in forecasting, planning, or analytics applications
- Experience with A/B testing and experimentation frameworks for AI features
- Experience with model observability tools (e.g., LangSmith, W&B, MLflow)
Anaplan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anaplan and has not been reviewed or approved by Anaplan.
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Strong & Reliable Incentives — Earnings potential in sales is considered good or fair, with on‑target earnings achievable when plans are met. This indicates variable pay can meaningfully boost total compensation when targets are hit.
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Healthcare Strength — Medical, dental, and vision coverage are described as strong, complemented by mental‑health resources and EAP support. Company‑wide paid wellbeing days reinforce the health and wellness focus.
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Parental & Family Support — Equitable parental and caregiver leave are highlighted alongside fertility and adoption support. Family‑forming programs such as Carrot are part of the offering.
Anaplan Insights
What We Do
Anaplan is building a future where connected leaders and teams are able to constantly adapt, transform and reinvent their businesses. We make it possible to share actionable insights, empower and unleash creativity, and drive innovation. With Anaplan, finance and operational leaders across the organization can model complex scenarios, forecast continuously with added intelligence, and make agile decisions with confidence.
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