Senior Voice‑of‑Customer Data Architect – Live Chat & Remote Data Entry – $35/hr – 2024 Opportunity at careerzynith

Welcome to careerzynith – Where Data Meets Human Insight

At careerzynith, we believe that every interaction with a customer is a chance to learn, innovate, and create lasting value. As a global leader in financial services, payments, and digital experiences, careerzynith empowers millions of consumers, merchants, and partners every day. Our mission is simple yet powerful: deliver a first‑class experience that blends technology, empathy, and integrity. If you thrive in a collaborative, data‑driven environment and want to shape the future of voice‑of‑customer analytics, you’ve found the right place.

Why This Role Matters

The Senior Voice‑of‑Customer Data Architect sits at the intersection of data engineering, analytics, and product strategy. In this role you will lead the design, development, and optimization of the data pipelines that power careerzynith’s Voice‑of‑Customer (VoC) platform. Your work will directly influence how product teams, marketers, and senior leaders hear and act on customer feedback, driving better products, smoother experiences, and higher satisfaction scores across the globe.

Key Responsibilities

• Partner closely with business stakeholders, product owners, and the Qualtrics integration team to translate VoC requirements into robust data models and pipelines.
• Design, build, and maintain scalable data architectures on Hadoop, HDFS, Hive, Spark, and related technologies to support both batch and real‑time analytics.
• Develop and enforce standardized metric definitions, ensuring consistency across dashboards, reports, and downstream applications.
• Implement automated data quality checks, testing frameworks, and monitoring solutions to guarantee data accuracy and reliability.
• Lead the migration of legacy VoC data sources into a modern, cloud‑native data platform, optimizing performance and cost.
• Collaborate with Agile squads to deliver incremental improvements, sprint by sprint, while maintaining a clear product backlog.
• Mentor junior engineers and data analysts, fostering a culture of continuous learning and technical excellence.
• Provide thought leadership on emerging data technologies, recommending tools and practices that keep careerzynith at the forefront of analytics innovation.

Essential Qualifications

• Minimum 3 years of hands‑on experience with Hadoop ecosystem components (Hive, HDFS, MapReduce) and Spark (PySpark preferred).
• Proficiency in Python, Shell scripting, and SQL for data manipulation, transformation, and automation.
• Demonstrated experience designing and implementing data models that support large‑scale analytics workloads.
• Strong understanding of Agile delivery methodologies, with a track record of delivering incremental value in fast‑paced environments.
• Excellent communication skills—ability to articulate technical concepts to non‑technical stakeholders and translate business needs into technical solutions.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).

Preferred Qualifications

• Experience with Qualtrics or other survey platforms and integrating their data into enterprise data warehouses.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies such as Docker and Kubernetes.
• Exposure to machine‑learning pipelines and statistical modeling techniques that enhance VoC insights.
• Professional certifications in data engineering, big data, or cloud architecture.
• Prior work in a financial services or payments organization, understanding of regulatory and security considerations.

Core Skills & Competencies

• Analytical mindset: Ability to dissect complex data problems, identify root causes, and propose elegant solutions.
• Collaboration: Comfortable working across cross‑functional teams—including product, engineering, UX, and compliance—to drive shared outcomes.
• Problem‑solving: Proactive in spotting inefficiencies, automating repetitive tasks, and improving data workflows.
• Attention to detail: Commitment to data integrity, rigorous testing, and documentation.
• Adaptability: Thrive in a dynamic environment where priorities shift and new technologies emerge.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its people. As a Senior Data Architect you will have access to:

• Annual learning stipend for conferences, certifications, or online courses.
• Mentorship programs pairing you with senior leaders in data science, product strategy, and technology.
• Opportunities to lead high‑visibility projects that influence global product roadmaps.
• Rotational assignments across different business units, expanding your expertise beyond VoC analytics.
• Regular knowledge‑sharing sessions, hackathons, and internal tech talks.

Work Environment & Culture at careerzynith

Our culture is built on three pillars: Integrity, Inclusion, and Innovation. We celebrate diverse perspectives, encourage open dialogue, and empower every employee to bring their authentic self to work. Whether you choose to work remotely from Costa Rica, a hybrid office, or a fully onsite location, you’ll find a supportive community that values work‑life balance, mental health, and continuous growth.

• Flexible work arrangements: Remote‑first policy with optional hybrid days to foster collaboration.
• Inclusive benefits: Generous parental leave, paid time off, and wellness programs tailored to local regulations.
• Health & well‑being: Access to global tele‑health services, on‑site clinics (where available), and confidential counseling through our “Whole Minds” app.
• Community impact: Volunteer days, sustainability initiatives, and employee resource groups that champion social responsibility.

Compensation, Perks & Benefits

careerzynith offers a competitive total rewards package designed to attract and retain top talent:

• Base salary: $35 per hour, commensurate with experience and market benchmarks.
• Performance bonuses: Quarterly incentive plans tied to individual and team outcomes.
• Retirement savings: Company‑matched 401(k) or equivalent pension contributions.
• Health coverage: Comprehensive medical, dental, and vision plans with global coverage options.
• Paid parental leave: Extended maternity and paternity leave, adaptable to local legislation.
• Professional development: Tuition reimbursement, certification support, and internal training pathways.
• Technology stipend: Home‑office equipment allowance and high‑speed internet reimbursement.
• Employee assistance program: Confidential counseling, financial planning resources, and wellness apps.

How to Apply

If you are ready to transform raw customer feedback into actionable intelligence and drive meaningful change at a global scale, we want to hear from you. Join careerzynith’s visionary team and help shape the future of voice‑of‑customer analytics.

Apply Now – Start Your Journey with careerzynith!