Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
The successful candidate will be a senior technical expert responsible for the entire lifecycle of data solutions on Snowflake. This includes high-level design, hands-on development, performance optimization, and mentoring junior team members.
Key Requirements & Skills
1. Data Architecture & Design
Design and implement robust, scalable data pipelines and data warehouses using Snowflake and related tools.
Develop and maintain complex data models that meet performance, scalability, and reliability standards.
Define and enforce data architecture best practices, including naming conventions, schema design, and access controls.
2. Data Engineering & Development
Develop and optimize ETL/ELT processes using Snowflake, Snowpipe, dbt, Streams, and Tasks.
Write high-performance SQL queries and implement solutions to manage compute and storage costs effectively.
Build reusable data components and workflows that support analytics, reporting, and machine learning use cases.
3. Performance Optimization & Monitoring
Monitor Snowflake usage and tune performance at query, schema, and warehouse levels.
Establish proactive monitoring and alerting frameworks for data quality and cost management.
4. Collaboration & Stakeholder Engagement
Partner closely with analytics, BI, and platform teams to ensure reliable data delivery for reporting and analytics.
Engage with business stakeholders to understand requirements and translate them into technical data solutions.
8+ years of professional experience in data engineering and data warehousing, with strong exposure to cloud-based platforms.
4+ years of specialized, hands-on experience with Snowflake, including data modeling, performance tuning, and cost optimization.
Expert-level proficiency in SQL and strong scripting skills in at least one programming language (Python or JavaScript preferred).
Proven experience with modern data engineering tools such as Snowpipe, dbt, Streams, and Tasks.
Demonstrated ability to lead technical projects and mentor team members.
Strong analytical, problem-solving, and communication skills with a collaborative, team-oriented mindset.
Desirable (Nice-to-Have) Skills
Domain Knowledge: Familiarity with Contact Center analytics.
Specific Tools: Experience with Genesys Cloud or Genesys Infomart.
BI & Cloud: Knowledge of AWS, Power BI, and Tableau.
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. 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.com.
Reasonable Accommodations:
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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.