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.

Description Summary :

Positions in this job profile are responsible for providing strategic consulting to customers to help them operate more efficiently or effectively using products sold by the organization.

Activities include :

- Identifying and measuring customers strategic problems.

- Recommending, designing and implementing intuitive and competitive business solutions.

- Identifying business opportunities and potential growth areas for customers.

- Developing roadmaps and action plans for organizations to achieve their long-term strategic objectives.

- Assisting clients in adopting best practices.

Expectations for this job profile are typically as follows :

- Exhibit a wide range of professional knowledge and experience, used to achieve operational targets within their specific function.

- Determine methods and procedures to solve complex problems, drawing from prior experience.

- Influence colleagues within and outside their business function regarding policies and practices of the larger organization.

- Provide guidance to junior colleagues and manages major and complex projects, delegating work to ensure goals are met.

Key Requirements & Skills :

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.

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.

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.

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.

Required Qualifications :

- 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.