Senior Data Platform Engineer

Requirements

• Cloud & Data Services: AWS (S3, Glue, Lake Formation, Lambda, Redshift, Step Functions, IAM, VPC)
• IaC Mastery: AWS CDK (bonus if you're fluent in TypeScript!)
• Coding Power: Strong in TypeScript and/or Python
• Data Lake Know-How: Medallion/zoned architectures, Parquet, Delta Lake, schema evolution-you get it
• DevOps/Software Craft: Git, CI/CD, testing, and agile engineering practices
• Containers: Experience with Docker, Kubernetes, ECS, or Fargate
• Bonus Points
• Strong SQL skills
• Hands-on experience with DBT
• Familiar with data catalogs or governance tools
• Experience with streaming technologies (Kafka, Kinesis, Spark Streaming)
• Company Highlights:
• Welcome to the new era of revenue effectiveness. The merger of Showpad and Bigtincan is creating the first AI-powered platform to strengthen the entire field selling motion.
• Acclaimed by analysts and adored by customers, we're recognized as a Leader in the Forrester Wave™ Revenue Enablement Platforms, honored by Gartner as a Customers' Choice in Revenue Enablement Platforms, and, together, endorsed by nearly 3,000 5-star customer reviews on G2.
• United, we're focused on powering the next generation of field selling success through a more holistic engine that creates lasting value for our customers and a new vision for our category.
• Discover the revenue team outcomes we're driving together at showpad.com .
• #Li-hybrid #LI

Benefits

Additional Information

Location Qualifications : Bucharest (hybrid, 2x week in office) Position Overview: Ready to build the future of data at scale? We're looking for a passionate Data Platform Engineer to join our high-impact, fast-moving Data Platform team-part of a dynamic and innovative Data organization that's reshaping how we make decisions. This is your chance to build and evolve a cloud-native, cutting-edge data platform that powers business insights and drives a data-first culture across the company. 💡 What You'll Be Doing 🔧 Build for Scale : Architect and engineer robust, cost-efficient, and high-performing data infrastructure on AWS. ⚡ Streamline Data Flow : Design and optimize powerful ETL/ELT pipelines that connect systems and fuel smarter decision-making. 🛠️ Automate Everything : Use Infrastructure as Code (AWS CDK) to automate provisioning and manage platform resources seamlessly. 🚨 Stay Ahead of the Curve : Set up top-tier monitoring, alerting, and logging. Spot issues before they become problems-and solve them fast. 🧠 Think Big : Help shape our tech strategy and bring new ideas to life. You're not just building systems-you're building the future. 🔐 Be the Guardian of Data : Champion best practices in data governance, security (GDPR, CCPA), and quality. 📚 Document Like a Pro : Create clear, comprehensive platform documentation that your teammates will actually want to read. 🤝 Lead & Collaborate : Take the technical lead on initiatives. Work hand-in-hand with Data Science, Analytics, and Engineering teams. 🌱 Mentor & Grow : Share your knowledge, code wisdom, and best practices with the team. Raise the bar-and help others reach it. 👀 What We're Looking For Experience That Stands Out: You've built and run scalable data platforms in the cloud (AWS preferred). You know the difference between "good enough" and "engineering excellence." Mindset That Moves Us: 🧩 Problem Solver: Analytical, curious, and eager to tackle challenges head-on. 💬 Great Communicator: Can explain complex ideas in simple terms-both to engineers and to non-tech folks. 🤝 Team Player: You collaborate, share, and lift others up. 🚀 Self-Starter: You take initiative, own your work, and drive things to the finish line.

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