Senior Data Engineer - Cloud Data Platform Development (Remote/Hybrid) at arenaflex

About arenaflex

Welcome to arenaflex, a dynamic leader in the consumer goods industry dedicated to creating more moments of joy for consumers worldwide. At arenaflex, we believe that data is the cornerstone of innovation, enabling us to deliver exceptional products and experiences to millions of customers every day. Our commitment to excellence extends beyond our product portfolio—we're building a world-class data infrastructure that powers decision-making across every facet of our organization.

As we continue our digital transformation journey, we're seeking a talented Senior Data Engineer to join our Information Engineering team. This is an exciting opportunity to shape the future of data engineering at arenaflex and make a meaningful impact on how we leverage information to drive business success. You'll be working at the intersection of technology and business, building data solutions that directly influence strategic decisions around revenue management, supply chain optimization, manufacturing efficiency, and logistics operations.

Role Overview

As a Senior Data Engineer at arenaflex, you will be the key technical expert responsible for building and managing our data product factory and operations. You'll drive a strong foundation for what data engineering can proactively create to positively impact the business. You will be an engaged member of a team of data engineers who integrate data pipelines into various source systems, lay data on the arenaflex Data Lake, and enable investigation and access for analysis, visualization, AI, and product development efforts across the organization.

You will help drive the development of extremely large and complex data applications into public cloud environments, directly affecting the design, architecture, and implementation of arenaflex's lead data products. This role works closely with process owners, product owners, and business clients, operating in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Key Responsibilities

As a Senior Data Engineer at arenaflex, you will be responsible for:

• Code Development and Innovation: Actively contribute to code development in operations and services, ensuring high-quality, maintainable, and scalable solutions.


• Pipeline Management: Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.


• Automation and Monitoring: Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance.


• Best Practices Implementation: Responsible for implementing best practices around systems integration, security, performance, and data management.


• Business Enablement: Enable the business by creating value through the increased adoption of data, data science, and business intelligence landscape.


• Collaboration: Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.


• Team Development: Grow the building capabilities and innovation of the data platform by engaging with enterprise architects and key internal and external partners.


• Model Productionalization: Develop and optimize procedures to "productionalize" data science models.


• SLA Management: Define and manage SLA's for data products and processes running in production.


• Experimental Support: Support large-scale experimentation done by data researchers.


• Scalable Solutions: Model new approaches and build solutions at scale.


• Research and Innovation: Conduct research in cutting-edge methods and technologies.


• Documentation: Create documentation for learnings and knowledge transfer.


• Reusable Assets: Create and review reusable packages or libraries.

Essential Qualifications

To be successful in this role, you must have:

• BA/BS degree in Computer Science, Math, Physics, or other technical fields.


• 2+ years of experience in Data Lake Framework, Data Warehousing, and Data Analysis tools.


• 2+ years of experience with SQL development and execution tuning, and optimization experience in programming languages like Python, PySpark, Scala, or similar.


• 2+ years in cloud data engineering experience with Azure.


• Familiarity with Azure cloud services. Azure Certification is a plus.


• Experience with integration of multi-cloud services with on-premises technologies.


• Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.


• Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.


• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.


• Experience with at least one MPP database technology like Redshift, Synapse, or Snowflake.


• Experience with running and scaling applications on cloud infrastructure and containerized services like Kubernetes.


• Experience with version control systems like GitHub and deployment and CI tools.


• Experience with Azure Data Factory, Azure Databricks, and Azure AI tools.


• Working knowledge of agile development, including DevOps and DataOps concepts.


• Familiarity with business intelligence tools (like PowerBI).

Preferred Qualifications

While not required, the following qualifications will give you an edge:

• Experience with Statistical/ML techniques.


• Experience building solutions in the retail or supply chain space.


• Understanding of metadata management, data lineage, and data glossaries.


• Azure Certification.

Skills and Competencies

Technical Skills

• Highly influential and able to teach challenging partners on the role of data and its purpose in the business.


• Understanding of both the engineering and business side of the Data Products produced.


• Places the customer at the center of decision-making.


• Collaborates and works together for speed, agility, and innovation.


• Experience with and embraces agile methodologies.


• Strong negotiation and problem-solving skills.


• Experience managing and working with globally distributed teams.

Professional Skills

• Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate trust in communications with senior-level management.


• Demonstrated history of driving and mentoring data teams.


• Strong change manager. Comfortable with change, especially that which arises through company growth.


• Ability to understand and translate business requirements into data and technical requirements.


• High level of organization and ability to manage multiple, competing projects and priorities simultaneously.


• Positive and flexible attitude to enable adapting to different needs in a constantly changing environment.


• Strong leadership, organizational, and interpersonal skills; open to managing trade-offs.


• Foster a team culture of accountability, communication, and self-management.


• Proactively drives impact and engagement while bringing others along.


• Consistently achieve/exceed personal and team goals.


• Ability to lead others without direct authority in a matrixed environment.

Career Growth and Development

At arenaflex, we invest in the growth and development of our employees. As a Senior Data Engineer, you'll have numerous opportunities to advance your career:

• Technical Leadership Paths: Progress into Principal Data Engineer or Distinguished Engineer roles where you'll set technical direction for the organization.


• Management Track: Move into leadership roles managing teams of data engineers and architects.


• Specialization Opportunities: Deepen expertise in areas like data architecture, machine learning operations, or data governance.


• Cross-Functional Exposure: Work with business stakeholders across revenue management, supply chain, manufacturing, and logistics.


• Innovation Labs: Participate in research initiatives and proof-of-concept projects exploring emerging technologies.


• Certification Support: Receive support and sponsorship for professional certifications in cloud platforms, data engineering, and related fields.

Work Environment and Culture

At arenaflex, we believe that great work happens when great people come together. Our culture is built on collaboration, innovation, and respect. Here's what you can expect:

• Hybrid Work Model: Enjoy the flexibility of working remotely while having access to collaborative spaces when needed.


• Inclusive Environment: Be part of a diverse team that values different perspectives and experiences.


• Innovation Focus: Access to cutting-edge technologies and the freedom to explore new approaches.


• Work-Life Balance: Competitive paid time off and flexible work arrangements.


• Continuous Learning: Access to training programs, conferences, and professional development resources.


• Team Culture: Regular team-building activities and knowledge-sharing sessions.

Compensation and Benefits

We offer a comprehensive compensation package that reflects the value you bring to arenaflex:

• Competitive Hourly Rate: $25/hour with potential for overtime compensation.


• Health and Wellness: Comprehensive health, dental, and vision insurance.


• Retirement Plans: 401(k) matching and retirement savings programs.


• Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.


• Professional Development: Tuition reimbursement and career development resources.


• Employee Assistance Program: Support for personal and professional challenges.


• Employee Discounts: Discounts on arenaflex products and partner services.

Join Our Team

Are you ready to make an impact? At arenaflex, we're not just building data pipelines—we're building the future of how a global company operates. As a Senior Data Engineer, you'll have the opportunity to work on meaningful challenges, collaborate with talented professionals, and shape how data drives business decisions.

We welcome candidates who are passionate about data engineering, thrive in collaborative environments, and are eager to contribute to a culture of innovation. If you're ready to take the next step in your career and join a team that's transforming how we use data, we encourage you to apply.

arenaflex is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Apply now and become part of something great at arenaflex!