Senior Data Engineer, Finance

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

*Note this role is remote for candidates residing in US within EST or CST time zone (Central to East Cost only)

• →Own the end-to-end migration of data pipelines from Snowflake to AWS, improving scalability, cost efficiency, and system observability
• →Design and implement dimensional data models that enable accurate, SOX-compliant financial reporting and analytics
• →Build and evolve Medallion Architecture data layers, ensuring high-quality, testable Silver and Gold datasets
• →Drive performance optimization across SQL transformations and data processing workflows to reduce cost and improve execution efficiency
• →Establish and enforce engineering standards for testing, deployment, and documentation across data platforms
• →Implement data quality frameworks that improve data reliability through validation, anomaly detection, and monitoring
• →Lead architecture decisions and influence technical direction across Strategic Finance and Customer Success data ecosystems
• →Partner with business stakeholders to translate complex requirements into scalable, production-ready data solutions

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience
• 6+ years of experience building production-grade data platforms or modern data warehouse solutions
• Expert-level SQL skills, including complex query design, performance tuning, and large-scale data modeling
• Strong Python development experience for building robust data pipelines and automation
• Proven experience working with cloud-based data platforms, including Snowflake and AWS services
• Demonstrated expertise in CI/CD pipelines, Git-based workflows, and automated testing frameworks
• Strong understanding of data governance, observability, and monitoring best practices
• Ability to communicate complex technical concepts effectively to both technical and business stakeholders
• Familiarity with AWS services such as Glue, S3, and CloudWatch for data pipeline orchestration

• Experience in leading/managing projects across functions
• Experience designing and implementing financial data models in regulated environments
• Experience with data lineage, cataloging tools, and enterprise data governance frameworks
• Track record of leading cross-functional data initiatives with measurable business impact

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About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai. 

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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.