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About careerzynith
careerzynith is a global leader in financial services and customer experience, renowned for delivering world‑class solutions to millions of consumers, businesses, and service providers every year. Our mission is to empower every interaction with integrity, innovation, and a deep sense of belonging. From bustling city centers to remote workspaces, careerzynith cultivates an environment where every voice is heard, every contribution is valued, and every employee can thrive both personally and professionally.
Role Overview
We are seeking a highly skilled Senior Voice of Customer Data Architect to join our dynamic Remote Live Chat team based in Costa Rica. In this role, you will be the technical champion behind the Voice of Customer (VoC) platform, driving data‑driven insights, building robust data models, and collaborating closely with product owners, agile engineers, and cross‑functional stakeholders. This position offers a competitive hourly rate of $35, a flexible remote‑first work model, and the opportunity to shape the future of customer experience at arenaxflex.
Key Responsibilities
- Partner with business analysts and product owners to translate functional requirements into scalable technical designs.
- Design, develop, and maintain high‑performance data pipelines that ingest, transform, and store VoC data from multiple sources, including survey platforms and real‑time chat interactions.
- Architect and optimize data models on the careerzynith data lake, ensuring consistency, accuracy, and compliance with governance standards.
- Implement batch and streaming analytics solutions using Hadoop, HDFS, Spark, Hive, and Python to deliver actionable insights to business users.
- Collaborate with the engineering agility squad to integrate VoC analytics into existing dashboards and reporting tools.
- Lead the creation of automated testing frameworks to validate data quality, lineage, and performance at each stage of the pipeline.
- Mentor junior data engineers and promote best practices in data modeling, ETL development, and cloud‑native architectures.
- Continuously evaluate emerging technologies and recommend enhancements that improve data processing efficiency and reduce latency.
- Support the development of self‑service analytics capabilities, enabling business teams to explore VoC data without heavy reliance on IT.
- Maintain comprehensive documentation of data flows, schema definitions, and operational procedures to ensure knowledge transfer and regulatory compliance.
Essential Qualifications
- 3+ years of hands‑on experience with big data technologies such as Hadoop, Hive, Spark, and Python.
- Proven expertise in designing and implementing data pipelines on cloud platforms (AWS, Azure, or GCP).
- Strong command of SQL and NoSQL databases, with the ability to write complex queries for data extraction and analysis.
- Experience with real‑time streaming frameworks (e.g., Kafka, Flink) and batch processing workflows.
- Solid understanding of data modeling principles, including star and snowflake schemas, and data warehousing concepts.
- Demonstrated ability to work in an Agile environment, delivering incremental value in two‑week sprints.
- Excellent communication skills, capable of articulating technical concepts to non‑technical stakeholders.
- Fluency in English (both written and spoken); proficiency in Spanish is a plus given the Costa Rica location.
Preferred Qualifications
- Experience with survey platforms and VoC tools, preferably having integrated data from Qualtrics‑style solutions (rebranded as careerzynith).
- Background in statistical analysis, predictive modeling, or machine learning applied to customer sentiment data.
- Certification in cloud data engineering (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for data workloads.
- Previous work in a multinational, remote‑first organization with distributed teams across time zones.
Core Skills & Competencies
- Technical Acumen: Mastery of Python, PySpark, Shell scripting, and data orchestration tools (Airflow, Luigi).
- Problem‑Solving: Ability to diagnose complex data quality issues and devise robust, repeatable solutions.
- Collaboration: Strong team player who thrives in cross‑functional settings, partnering with product, design, and operations.
- Attention to Detail: Commitment to delivering accurate, reliable data that drives business decisions.
- Adaptability: Comfortable navigating fast‑changing priorities and evolving technology landscapes.
- Customer‑Centric Mindset: Passion for turning raw voice data into meaningful narratives that improve the customer journey.
Benefits & Perks
- Competitive Compensation: $35 per hour with performance‑based bonus opportunities.
- Comprehensive Health Coverage: Medical, dental, and vision plans, plus access to virtual health services staffed by qualified professionals.
- Retirement Savings: Employer‑matched contributions to a 401(k) or equivalent retirement plan.
- Flexible Work Model: Choose between fully remote, hybrid, or on‑site arrangements based on personal preference and project needs.
- Generous Paid Time Off: Includes parental leave, vacation, sick days, and cultural holidays.
- Well‑Being Programs: Access to mental‑health counseling, wellness apps, and employee assistance programs.
- Learning & Development: Tuition reimbursement, certification funding, and internal training academies.
- Technology Stipend: Home office equipment allowance and high‑speed internet reimbursement.
- Community & Inclusion: Employee resource groups, diversity initiatives, and regular virtual social events.
Career Development & Learning
careerzynith invests heavily in the growth of its talent. As a Senior Data Architect, you will have a clear pathway to senior leadership roles such as Lead Data Engineer, Analytics Manager, or Director of Customer Insights. We provide:
- Mentorship programs pairing you with senior leaders across the organization.
- Quarterly skill‑building workshops on emerging technologies (e.g., AI‑driven sentiment analysis, data mesh).
- Opportunities to present at internal conferences and external industry events.
- Cross‑functional project rotations that broaden your business acumen and strategic perspective.
Our Culture & Work Environment
At careerzynith, culture is built on three pillars: integrity, inclusion, and innovation. Our remote workforce enjoys:
- A collaborative digital workplace powered by modern communication tools (Slack, Teams, Confluence).
- Regular virtual coffee chats, hackathons, and team‑building activities that keep connections strong across continents.
- A commitment to work‑life balance, encouraging employees to unplug and recharge.
- Recognition programs that celebrate both individual achievements and team milestones.
How to Apply
If you are ready to shape the future of customer experience, drive data excellence, and grow within a forward‑thinking organization, we want to hear from you. Click the link below to submit your application and join the careerzynith family.
Apply Now – Become a Voice of Customer Data Architect at careerzynith
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