Join Genesys as a Principal Data Engineer

Genesys empowers more than 7,500 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the #1 AI-powered experience orchestration platform, Genesys delivers the future of CX to organizations of all sizes, enabling empathetic, personalized experiences at scale. As the trusted, all-in-one platform, Genesys Cloud accelerates growth by helping organizations differentiate with the right customer experience at the right time.

We employ over 6,000 people globally who embrace empathy and cultivate collaboration to succeed. While offering great benefits and perks like larger tech companies, our employees enjoy the independence to make significant impacts and take ownership of their work. Join us to shape the future of customer experience together.

The Genesys Data & Analytics Team

The Data & Analytics team is a centralized unit comprising Data Engineering, Data Platform/Technologies, Data Analytics, Data Science, Data Product, and Data Governance practices. This dynamic team serves the enterprise, including sales, finance, marketing, customer success, product, and more. It is also a vital partner to operational systems like Salesforce and Workday that run the business.

Responsibilities

• Collaborate with stakeholders, product owners, data scientists, and analysts to frame problems, clean and integrate data, and provision data on demand effectively.
• Lead architectural design with other principal engineers to achieve measurable results at scale.
• Provide technical thought leadership for efficient data pipeline processes, warehouse architecture, and business intelligence functions.
• Guide, mentor, and influence the team, setting modern data architectural directions and consistently adopting best practices.
• Promote a data operations mindset by monitoring and analyzing information to enhance data pipeline performance.
• Collaborate with cross-functional teams to design interfaces supporting data integration with internal and external platforms.
• Lead tech evaluations related to data and analytics, including POT/POC's.

Requirements

• 10 years of enterprise data engineering experience
• Proficiency in building optimized enterprise-grade data integration pipelines (AWS, Databricks, Snowflake)
• Experience with cloud database technologies (Azure, Snowflake, Databricks, Google, AWS, etc.)
• Experience with cloud-based data integration tools/frameworks (dbt, Glue, etc.)
• Experience with cloud-based data orchestration (MWAA)
• Knowledge of data replication, data integration, and data masking
• 10+ years of programming experience with proficiency in at least two programming languages (SQL, Python, Java, R, Spark)
• Strong communication skills and ability to work with end-users and business leaders
• Experience working within an agile scrum framework
• Passion for code quality, testing, and documentation
• Experience deploying data pipeline infrastructure on cloud technologies
• Expertise in distributed data processing and event streaming
• Experience iterating within a CI/CD framework

Preferred Qualifications

• Bachelor’s degree in computer science, data science, or related field AND 4+ years of experience in business analytics, data science, software development, data modeling, or data engineering; or master’s degree in computer science
• Experience with message-driven architecture and API enablement
• Strong team player with the ability to lead peers in achieving common goals
• Creative, innovative, and solution-oriented thinking
• High-energy, team-first, positive attitude with a passion for making a significant impact
• Excellent critical thinking, problem-solving, and analytical skills with a keen attention to detail
• Effective communicator able to interact with cross-functional teams

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys

Every year, Genesys orchestrates billions of remarkable customer experiences for organizations in over 100 countries. Our cloud, digital, and AI technologies empower organizations to realize Experience as a Service™ – our vision for empathetic customer experiences at scale. By transforming back-office technology into a modern revenue velocity engine, Genesys enables true intimacy at scale, fostering customer trust and loyalty. Visit .

Reasonable Accommodations

If you require a reasonable accommodation to complete any part of the