Original listing text, shown exactly as published by the company.
Your Impact
- 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.
Your Qualifications
- 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).
Preferred Qualifications
- 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.
What Makes This Role Exciting
- 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.
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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 people@anaplan.com before taking any further action in relation to the correspondence.
