Zykrr — The Experience Catalysts
Website:
zykrr.com
Job details:
Company Description
Zykrr is creating a new benchmark in CX. We transform real-time customer feedback into tangible revenue by sensing emotions, predicting needs, and automating responses for improved retention, loyalty, and growth. Unlike traditional tools, Zykrr offers AI-powered insights, intelligent orchestration, and enterprise-grade integrations to go beyond simply measuring customer satisfaction. Our innovative solutions help leading brands leverage customer experiences as a lucrative asset. Join us in reshaping the future of customer experience in a fast-paced, tech-driven environment.
Role Description
Zykrr is seeking a Senior Data Engineer for a full-time hybrid role based in Gurugram, with opportunities. The Senior Data Engineer will be responsible for designing data architecture strategies, implementing data governance frameworks, and creating scalable data models aligned with business goals. This position involves developing efficient ETL workflows, managing data storage solutions, and ensuring optimal performance of enterprise-level data warehousing systems. Collaboration with cross-functional teams to support data-driven decision-making will be a key part of this role.
Qualifications
- Proficiency in Data Architecture, including designing and maintaining enterprise-level data systems
- Expertise in Data Modeling and Data Governance for structured and unstructured datasets
- Hands-on experience with Extract, Transform, Load (ETL) processes and tools
- Strong knowledge of Data Warehousing concepts and implementation techniques
- Ability to work in a hybrid environment with strong communication and collaboration skills
- Proficiency with database technologies and cloud platforms such as SQL, NoSQL, AWS, or Azure
- Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s degree preferred)
- Prior experience in customer experience or analytics-focused industries is a plus
What You Will Own
1. Unified Data Platform
- Design and build a centralized data architecture that integrates multiple data sources (feedback, CRM, transactional, behavioral, external APIs)
- Define data models and schemas that support analytics, reporting, and AI use cases
- Ensure data consistency, reliability, and accessibility across the platform
2. Data Pipelines & Processing
- Build and maintain scalable ETL/ELT pipelines for real-time and batch processing
- Handle high-volume data ingestion with strong performance and fault tolerance
- Ensure data quality through validation, monitoring, and observability
3. AI-Ready Data Infrastructure
- Structure data systems to support AI/ML workflows and inference pipelines
- Enable seamless integration between data pipelines and AI services
- Work closely with AI engineers to ensure models have clean, structured, and timely data
4. AI Agents & Workflow Enablement
- Build systems that support AI-driven workflows and automation
- Enable capabilities like:
- Intelligent routing and action triggers
- Predictive signals
- Natural language querying (e.g., conversational analytics)
- Ensure AI workflows are scalable, reliable, and explainable
5. Performance, Scalability & Governance
- Optimize data systems for low latency and high throughput
- Implement data governance, access control, and security standards
- Ensure compliance with enterprise requirements (especially for regulated clients)
6. Cross-Functional Collaboration
- Work closely with Product, Engineering, AI, and Implementation teams
- Translate business requirements into robust data solutions
- Support enterprise deployments where data integration is critical
Qualifications & Experience
- 4–8 years of experience in data engineering or backend systems with a strong data focus
- Strong expertise in data pipelines, distributed systems, and database design
- Experience with real-time and batch data processing systems
- Hands-on experience working with APIs, integrations, and large datasets
- Familiarity with cloud platforms and modern data stack
What Makes You a Strong Fit
- You think in terms of systems, not just pipelines
- You can design data architecture that scales across clients and use cases
- You understand how data enables AI, automation, and product intelligence
- You are comfortable working across engineering, product, and client requirements
- You have a strong internal drive to build and improve systems—going deep into problems, experimenting with solutions, and consistently raising the bar for engineering quality
Growth Path
- Short term: Build and stabilize Zykrr’s unified data platform
- Medium term: Enable AI-driven workflows and intelligence across the system
- Long term: Progress into Lead Data Architect / Principal Engineer (Data & AI)
Zykrr is an equal opportunity employer. We are committed to building a diverse and inclusive workplace and do not discriminate on the basis of race, religion, gender, sexual orientation, age, disability, or any other protected status.
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