Staff Data Platform Engineer
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.
What We’re Looking For:
- 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.
By unifying two industry-acclaimed solutions for content, readiness, engagement, and intelligence into a single operating system, we are delivering unrivaled scale and accelerated growth for our 2,000+ combined customers worldwide, including leaders in manufacturing (Dow, Dupont), healthcare (Fujifilm, Kaiser Permanente, Johnson&Johnson), CPG (Smucker’s, Mitsubishi, Stanley Black & Decker), and enterprise tech (HID, CultureAmp, LastPass).
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
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