Job Title:

Data Engineer Product Owner

Job Description

Data Engineer Product Owner – Remote in Costa Rica

We're Concentrix, the global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are.

We are looking for a curious and dynamic Technical Product Owner. This role will own and evolve enterprise data platforms, shared services, and foundational capabilities across both on prem and cloud environments, with a primary focus on enabling marketing analytics and enterprise data consumption at scale.

The Technical Product Owner will partner closely with Data Engineering, Analytics, Architecture, and business stakeholders to define, prioritize, and deliver high quality data products, BI solutions, and reporting capabilities. The role brings value through strong product ownership, technical data acumen, stakeholder leadership, and disciplined execution within a platform oriented engineering organization.

We’re looking for someone who enjoys unwinding complex data and platform problems as much as they enjoy facilitating alignment and prioritization workshops, and who naturally bridges business outcomes with scalable technical implementation.

Essential Functions/Core Responsibilities

1. Product Strategy & Stakeholder Leadership

• Discovery & Alignment: Partner with business leaders to understand needs, define outcomes, and translate them into clear product features and data requirements.
• Backlog Management: Own and prioritize the operational and enhancement backlogs, assessing severity and business impact to ensure platform stability and value delivery.
• Cross-Functional Collaboration: Partner with Project and Engineering leads to estimate effort, assess risks, manage dependencies, and maintain scope clarity.

2. Technical Ownership & Data Discovery

• Solution Shaping: Collaborate with Architecture and Data Engineering to ensure business intent is reflected in scalable functional and technical designs.
• Hands-on Analysis: Perform data exploration across new and existing sources (SQL-based) to inform feasibility, solution design, and prioritization.
• Product Delivery: Drive work items through the full lifecycle—from discovery and design through testing and deployment—removing blockers along the way.

3. Quality Assurance & Operational Support

• Acceptance Criteria: Own the definition of "Done" and partner with QA to ensure data quality, correctness, and readiness for release.
• Production Support: Provide operational support for production issues, working with IT teams to troubleshoot and resolve high-urgency data gaps.
• Data Governance: Evaluate multiple approaches to data consumption across analytics and self-service tools to ensure consistency across platforms.

Candidate Profile

• Education: Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related technical field.
• Experience: 5+ years of relevant experience. This can be 5+ years as a TPO, or a hybrid of 3 years as TPO and 2 years in Data Engineering/Analytics.
• Language: Fluent in English with excellent communication skills for both technical and non-technical audiences.
• Certification: CSPO (Certified Scrum Product Owner) or similar Agile certification is preferred.

Technical Core

• Data Acumen: Strong SQL skills and experience exploring, validating, and reasoning about complex data sets.
• Agile Mastery: Expert-level experience in backlog ownership, story refinement, and sprint planning within Agile frameworks.
• Cloud Ecosystem: Familiarity with modern data platforms such as Azure, Databricks, and Snowflake.
• Documentation: High proficiency in using Jira and Confluence for requirements tracking and cross-team collaboration.

Technical Stack Summary

• Data Platforms: Azure, Databricks, Snowflake, On-Premise environments.
• Tools: Jira, Confluence, SQL.
• Methodology: Agile, Scrum, Kanban.
• Optional/Plus: Postman, Visual Studio.

Join us and be part of this journey towards greater opportunities and brighter futures.

Location:

CRI Work-at-Home

Language Requirements:

Time Type:

Full time