Senior Data Engineer

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading global creative technology organization is transforming professional design through intelligent, connected tools that combine creativity, collaboration, and artificial intelligence. Its Pro Design teams are developing the next generation of professional design experiences, empowering creators and teams to work faster while maintaining high standards of quality and craftsmanship.

The organization is seeking a Senior Data Engineer to build a strong, scalable data foundation supporting next-generation professional design products. The role will focus on developing data architecture, pipelines, governance, analytics, and AI-driven data capabilities across shared platform data and in-application usage telemetry.

The successful candidate will work closely with Product, Engineering, and Data Science teams to transform complex and ambiguous business questions into reliable data models and systems. The position requires strong data engineering expertise combined with experience applying AI technologies to improve workflows, analytics, and data-driven product development.

What You’ll Do

• Build, scale, and optimize data architecture and ETL pipelines using Databricks across professional design products.
• Develop data solutions spanning shared platform data and in-application usage telemetry.
• Partner with Product, Engineering, and Data Science teams to define and implement data logging and instrumentation.
• Build data foundations that support product experimentation, AI/ML features, and analytics.
• Establish and evolve governance standards for data quality, privacy, security, lineage, and service-level agreements using Unity Catalog.
• Develop automated reporting and data foundations that enable conversational, AI-driven insights across reporting platforms.
• Maintain production pipelines and queries to ensure reliability, performance, and scalability.
• Drive optimization initiatives focused on reducing infrastructure costs and improving data processing latency.

Minimum Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• Proficiency in SQL, Python, PySpark, Airflow, and Databricks workflows.
• 5+ years of experience in data engineering, including experience developing and managing production pipelines at scale.
• Experience working with high-volume event and telemetry data generated by client applications.
• Experience integrating AI tools to optimize or redesign workflows for improved efficiency, quality, or latency.
• Experience building multi-agent AI systems or agentic workflows.
• Working knowledge of AI/ML data pipelines, including feature stores, embeddings, or retrieval systems.
• Familiarity with modern business intelligence and reporting tools.
• Demonstrated ability to collaborate with Product, Engineering, and Data Science teams to transform ambiguous questions into reliable data models.

Preferred Requirements

• Master’s or Ph.D. in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• Hands-on experience with Databricks and Unity Catalog or comparable Lakehouse and data governance technologies.
• Experience deploying and managing services and applications on Azure and cloud platforms.
• Familiarity with Retrieval-Augmented Generation (RAG) techniques used in conjunction with large language models.
• Familiarity with data privacy and compliance requirements for user-behavior data, including GDPR and CCPA.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.