GotPhoto
Technology
DataPlatformLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Data Platform Lead at GotPhoto. Skills: Data Engineering, Platform Architecture, AI Engineering, DevOps. Shape Platform Strategy & Architecture. Pioneer Agentic AI & Analytics Innovation”
What You'll Achieve.
Empower human decision making; Enable self-serve analytics; Enable AI agents
Industry & Context.
Infrastructure challenges; Architectural decisions; Operational improvements
What They're Looking For.
Must Have
5+ years of experience in data engineering or technical leadership, Expertise in SQL, Expertise in Python, Expertise in ETL/ELT, Expertise in data modeling, Expertise in scalable data architectures, Proven experience designing scalable data platforms, Proven experience migrating legacy systems toward modular or event-driven architectures, Experience collaborating with cross-functional stakeholders
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Shape Platform Strategy & Architecture
Pioneer Agentic AI & Analytics Innovation
Build resilient ETL/ELT pipelines
Optimize ETL/ELT pipelines
Manage ETL/ELT pipelines
Design ingestion architectures
Design transformation architectures
Enable near-real-time event streaming
Automate operational processes
Streamline business operations
Eliminate repetitive manual work
Enable scalable workflow automation
Establish AI-Ready Data Foundations
Ensure data products are discoverable
Ensure data products are well-documented
Ensure data products are governed
Ensure data products are trusted
Establish data contracts
Establish ownership models
Establish observability standards
Establish governance practices
Deploy cloud-native data infrastructure
Manage cloud-native data infrastructure
Work with Infrastructure-as-Code
Work with containerized environments
Provide technical leadership
Provide hands-on mentorship
Establish engineering standards
Establish scalable operational practices
Establish testing structures
Establish a culture of collaboration
Establish a culture of technical excellence
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; International data team; Skilled team
Full Job Description
ABOUT US At GotPhoto, we are freeing photographers to be more successful. Through our platforms GotPhoto.com http://GotPhoto.com and fotograf.de http://fotograf.de, we help professional photographers simplify and transform the way they work — from photo management and client communication to ordering and payment processing. Our end-to-end workflow and e-commerce solution gives photographers more time to focus on what matters most: being behind the lens. Since 2012, we’ve built a sustainable and profitable business driven by entrepreneurial spirit, innovation, and a deep understanding of photographers’ everyday challenges. Today, thousands of photographers trust our software , creating their own success stories https://gotphoto.com/success-stories/ along the way. As the leading e-commerce engine for professional volume photographers and a business backed by EQT, one of the world’s leading private equity firms, we’re powered by a team of 150+ talented and international people building technology that simplifies photographers’ everyday work and helps them focus on capturing meaningful moments. Join us on our journey to empower photographers like never before. YOUR ROLE: Do you want to drive high-impact data initiatives alongside an international data team and play a key role in scaling a market-leading e-commerce workflow platform? If you thrive on a steep technical learning curve, possess a high level of ownership, and want to build modern, reusable data systems that empower human decision making, self-serve analytics, and AI agents, you are our perfect match! WHAT YOU WILL DO - Shape Platform Strategy & Architecture - Pioneer Agentic AI & Analytics Innovation - Modernize Pipelines & Event Streaming: Build, optimize, and manage highly resilient ETL/ELT pipelines using Snowflake, dbt, Airbyte, and Airflow. You will design modern ingestion and transformation architectures while enabling near-real-time event streaming capabilities through Kafka and similar technologies.
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