Senior Cloud Data & Analytics Architect

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! Anaplan is seeking a visionary Cloud Data and Analytics Architect to own and execute our end-to-end data strategy. This is a hybrid role for a leader who is passionate about both building world-class data platforms and translating that data into powerful analytics solutions. You will be responsible for architecting our data ecosystem on the Google Cloud Platform and ensuring it directly serves the analytical needs of the business, empowers self-service BI, and delivers actionable insights that drive strategic decisions. Responsibilities End-to-End Architecture: Design and own the complete architecture for data and analytics, from ingestion and processing to visualization and insight delivery. Analytics Enablement: Partner closely with business leaders and analysts to translate their needs into technical requirements. Design data models and access patterns optimized for BI and self-service analytics platforms like Looker, Tableau, or Power BI . Platform Engineering: Build and manage robust, scalable data pipelines on GCP using services like BigQuery, Dataproc, and Cloud Storage , with orchestration tools like Airflow and Dataform . Unified Data Strategy: Architect seamless data flows between our core GCP environment, Databricks , and other critical business systems. Infrastructure as Code (IaC): Implement and champion DevOps best practices for all data and analytics infrastructure using Terraform and Github . Data Governance Quality: Institute a rigorous data governance framework to ensure the accuracy, consistency, and security of data used for analytics. Technical Leadership: Guide and mentor data engineers and analysts, defining the standards for both data infrastructure and analytics development. Preferred Qualifications GCP Professional Cloud Architect or Data Engineer certification. Experience in a multi-cloud environment. Familiarity with containerization technologies like Docker and Kubernetes. 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 partici ... (truncated, view full listing at source)