Staff Platform Engineer - Product Analytics (f/m/d)

Our cross-functional Engineering teams develop scalable and secure microservices and APIs for the different domains of our product. Our DevX (Developer Experience) tribe is dedicated to empowering these teams with the best tools platforms and processes.

Within DevX the Product Analytics teams mission is to provide and operate a world-class data platform. We enable development teams and product managers to draw insights from product data make data-informed decisions on new features and evaluate the performance of their products in the real world.

As a Staff Platform Engineer for Databricks & DataOps you are the cornerstone of our data platform. You are not only a senior individual contributor but also a technical leader who will take ownership of our entire global data analytics infrastructure. With a strong customer-centric mindset you will enable hundreds of internal users to leverage data effortlessly and securely. You will be the primary driver of our DataOps practice ensuring our platform is scalable reliable cost-efficient and secure across the globe.

WHY SHOULD YOU CARE

Well there are multiple reasons:

• Were on a strong growth trajectory in terms of ARR and team size while scaling in a sustainable and profitable way making us successful in even challenging economical phases.
• Our products are industry-leading with happy customers and a NPS of 60. Our culture of empowered product teams means we solve problems instead of implementing features. We drive our efforts through close contact with our customers and measuring how they use our products.
• We build it we run it. We ensure customers can rely on resilient and performant products. We stay ahead of trouble through a high degree of automation alerting SRE practises and On-Call. There is no dedicated operations department in place at SAP LeanIX.
• We prioritize continuous improvement collaboration and knowledge sharing. We constantly iterate on our engineering practices and skills to build a software architecture that supports fun at work and long term success of the business.
• We value open access to leadership transparency and personal development. We successfully enabled many software engineers to grow along with the company into engineering manager or technical lead positions. Youll continue this success story while we offer you opportunities to grow.
• We value a healthy life balance and our employees make room for interests and relations outside of their job. We offer a hybrid working environment providing a high grade of flexibility while meeting colleagues in one of our offices from time to time.

WHAT IS WAITING FOR YOU

As the technical lead for our data platform you will play an important role in building a self-service automated and robust ecosystem for product data analytics.

• Architect and Own Our Global Databricks Platform:You will design build and maintain our entire Azure Databricks environment across 10 global regions using Terraform. This includes architecting the compute and runtime environment with dbt as the core component for data transformations in our product analytics pipelines.
• Champion a DataOps Culture: You will implement and evangelize DataOps principles creating automated repeatable and reliable processes for managing data infrastructure and analytics workflows.
• Implement and maintain a federated Data Architecture: You will be a key player in our transition to a data mesh. You will architect and implement the technical aspects of our data platform in Databricks enabling domain teams to own their data products while maintaining central governance and discoverability through Unity Catalog.
• Drive Governance and Security: You will establish and enforce best practices for data governance security and compliance.
• Optimize for Performance and Cost: With a data engineering mindset you will proactively monitor and tune Spark jobs define optimal cluster policies implement cost-management strategies (e.g. spot instances autoscaling) and guide teams on writing efficient queries and data transformations.
• Empower Your Customers: You will create frictionless onboarding paths and self-service capabilities for data engineers analysts and data scientists acting as the subject matter expert and go-to person for all things Databricks. This includes providing self-service frameworks for creating and deploying new dbt projects and acting as the go-to expert for running dbt efficiently on Databricks
• Automate Everything: You will develop robust CI/CD pipelines using GitHub Actions to manage the entire lifecycle of our Databricks assetsfrom infrastructure and clusters to the deployment and testing of dbt transformation workloads.

WHAT IS OUR STACK

• Data Platform: Azure Databricks dbt Delta Lake ML/AI workflows on Databricks Unity Catalog and Apache Spark (PySpark).
• Cloud & IaC: Microsoft Azure Terraform Azure Data Lake Storage (ADLS) Gen2 Azure Key Vault
• CI/CD & Automation: GitHub Actions Databricks CLI/APIs and Databricks Asset Bundles
• Microservices based on Kotlin and Python
• Infrastructure based on Azure ecosystem Kubernetes & Docker
• API technologies such as REST and GraphQL
• Event-driven architecture
• Angular (Micro) Frontends (TypeScript Tailwind NgRx Nx Jest)
• Monitoring & Alerting e.g. Instana
• Product Usage Tracking using Amplitude & Azure Log Analytics

WHO ARE WE LOOKING FOR

We are looking for a seasoned platform engineer with a deep specialization in building and administering large-scale data platforms. You are passionate about automation governance and enabling others through robust infrastructure.

Core Requirements:

• Live by our
• Expert-level knowledge of Azure Databricks administration including workspace setup cluster management and policies security best practices and cost optimization.
• Proven hands-on mastery of Terraform. You should be able to manage a complex multi-region Databricks environment entirely as code.
• Strong data engineering fundamentals including deep experience with Apache Spark performance tuning Delta Lake optimization (Z-ORDER partitioning) and understanding data processing patterns.
• Practical experience designing or implementing platforms aligned with federated Data Management principles. A deep understanding of Unity Catalog for central governance and data discovery is essential.
• Solid experience building CI/CD pipelines for data and infrastructure (DataOps) preferably using GitHub Actions to manage the lifecycle of Databricks assets.
• Deep understanding of core Azure services and how they integrate with Databricks
• Experience with data quality frameworks including unit testing data validation expectation-based testing (DBT Expectations) dbt testing and scalable automated testing pipelines.

Additionally:

• Solid experience in data platform engineering infrastructure or SRE roles with at least 4 years of deep hands-on experience with Databricks.
• Experience managing large-scale multi-region cloud environments. Open communication style and fluent written and spoken English skills are required

At SAP LeanIX Product and Engineering we embrace a hybrid remote work model combining the benefits of in-person collaboration with the flexibility to work from home. We hire within commuting distance to our hubs in Bonn Berlin and Dresden expecting employees to come to the office multiple times per week

SAP LeanIX is a market leader for enterprise architecture management (EAM) driving the modernization of IT landscapes and continuous business transformation. Its software-as-a-service solutions empower organizations to create transparency enabling them to visualize assess and manage the transition towards their target IT architecture. By offering a data-driven and automated approach enhanced with AI SAP LeanIX helps organizations make sound decisions and collaborate more effectively. SAP LeanIX serves over 1.400 companies globally across various industries including more than 10% of the Fortune 500 and half of the German DAX 40. Headquartered in Bonn and offices in Munich and Berlin (Germany) SAP LeanIX also has a strong international presence with offices in Boston (USA) London (UK) Paris (France) Amsterdam (Netherlands) and Ljubljana (Slovenia). In November 2023 LeanIX became part of SAP. For more information visit . Your application information might be therefore shared across both SAP and SAP LeanIX recruiting and hiring teams.

SAP LeanIX is not just a product in fact its a great place to work. Colleagues (700) from dozens of countries jointly make our vision reality. We believe in transparent communication personal development diverse workforce innovation by creating ideas that prove useful and that our world-class team deserves the best software stack money can buy.

At SAP LeanIX we have a Hybrid Work Mode which means you work remotely from your home office and work from one of our offices. SAP LeanIX teams and team members decide together on the work mode which suits them best. Next to that we have great benefits for you

Please check our Applicant Privacy Notice available for more information about how we process your personal data. If you have any questions or concerns about privacy or want to exercise any of your data privacy rights please send an email to .

SAP LeanIX is committed to being an equal opportunity employer. Diversity is vital to driving the growth and success of our company. If you need an equitable interview process alternative please let our team know at You will be treated with the utmost respect and confidentiality.

All applicants will receive consideration for employment based on experience qualifications and competencies. SAP LeanIX will not discriminate based on race color religion belief political affiliation union membership age sex pregnancy sexual orientation gender identity national or ethnic origin genetic information creed citizenship disability protected veteran or marital status or any other status protected by applicable laws or regulations.