Senior Engineer, Data & Analytics

Anaplan Inc.•Minneapolis, MN

47d

About The Position

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! Your Impact We are seeking an experienced Data & Analytics Senior Engineer to design, build, and deploy complex data models in Anaplan and manage data warehousing projects, as well as build and deploy internal applications to support our technology lifecycle, service delivery, and collaboration tools. You will integrate data from SaaS sources like Salesforce, Adobe Analytics, Workday, and Splunk into Anaplan and Google BigQuery. You will also:

Requirements

8+ years in data orchestration, data warehousing, and ETL/ELT development.
Proficient in Python (production-level scripting, understanding existing code, Pandas DataFrames, ReST API Calls).
Proficient in SQL Querying; extensive experience with Google BigQuery and the broader GCP platform. Strong knowledge of database concepts.
Proven experience developing and troubleshooting ETL/ELT processes. Exposure to ETL tools (e.g., Informatica is a plus) and understanding of ETL/ELT architecture, including Modern Data Architecture (Data Lake).
Experience with Git for version control and Terraform for Infrastructure as Code (IaC). Familiarity with CI/CD principles.
Strong troubleshooting skills are a must for identifying and resolving complex data issues.
Project Management Experience working in an Agile/Scrum environment using tools like JIRA.

Nice To Haves

Model-building experience in Anaplan is highly valued.

Responsibilities

Maintain the highest levels of development practices, including creating technical designs, writing clean, self-sustaining code, and managing system configurations.
Implement and maintain DataOps practices, including managing data infrastructure as code (IaC) with Terraform and utilizing Git for version control.
Work closely with analysts and business process owners to translate business requirements into technical solutions and present analysis results.
Conduct Database Performance Tuning, Load Testing, Data Migration, and design efficient ETL/ELT processes.
Drive projects to synchronize efforts and achieve business goals.

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