**Job Title:** Data Architect & Engineering Professional – Cloud Data Platform Development, Pipeline Architecture, and Enterprise Data Solutions
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Join arenaflex: Build the Future of Data-Driven Logistics
Are you ready to transform how a global enterprise harness the power of data? arenaflex is seeking talented Data Architects and Engineers to join our cutting-edge Dataworks team—a centralized data platform that powers critical business decisions across the entire organization. If you're passionate about data engineering, cloud technologies, and building scalable solutions that impact millions of shipments daily, we want to hear from you.
At arenaflex, we don't just move packages—we move the world. Our Dataworks platform serves as the backbone for data ingestion, transformation, and pipelining across all business units, enabling everything from operational insights to predictive analytics that keep global logistics running smoothly. As a Data Architect or Engineer at arenaflex, you'll work at the intersection of technology and innovation, collaborating with IT professionals, business analysts, data scientists, and software developers to deliver value that matters.
Why arenaflex?
arenaflex is more than a logistics company—we're a technology powerhouse. With operations spanning 220+ countries and territories, we generate massive amounts of data every second. This data powers everything from route optimization and delivery predictions to customer experience improvements and supply chain innovations. When you join arenaflex, you're not just taking a job; you're joining a team that's redefining what's possible in the transportation and logistics industry.
We believe in investing in our people. Our employees enjoy comprehensive benefits, professional development opportunities, and the chance to work with state-of-the-art technologies. Whether you're an experienced Data Architect or an engineer looking to grow into architecture roles, arenaflex provides the environment and support you need to succeed.
Position Overview
We are currently recruiting for multiple levels of Data Architects and Engineers to support our growing Dataworks initiative. These roles offer the opportunity to work on enterprise-scale data platforms, build robust pipelines, and collaborate across multidisciplinary teams to deliver high-value data solutions.
Our Dataworks platform manages the end-to-end data lifecycle—from ingestion to transformation to delivery to end users and downstream systems. You'll be responsible for building tools, platforms, and pipelines that enable teams to analyze data, build models, and drive informed business decisions.
Key Responsibilities
As a member of the arenaflex Dataworks team, you will:
Design and develop data pipelines at massive scale, ensuring efficient ingestion and processing of data from multiple sources
Build tools and platforms that empower teams to analyze data cleanly and systematically, enabling them to build models and drive data-informed decisions
Scale solutions from individual contributor level to team-scale operations, addressing both infrastructure and problem-solving challenges
Collaborate across teams to generate data-driven operational insights that lead to high-value, improved solutions
Deliver tangible value quickly while working with diverse teams across different backgrounds and disciplines
Establish best practices for future reuse, creating reusable patterns, templates, and codebases
Engage with senior technologists across the enterprise and external partners to create synergies and ensure smooth integration with downstream systems
Maintain and optimize existing data environments and pipelines, investigating performance issues and providing Level 3 support
Implement parsers, validators, transformers, and correlators to reformat, update, and enhance data quality
Mentor junior team members and provide guidance to those in less senior positions
Lead data analysis, lineage studies, and initiatives to document and enhance data quality and accessibility
Essential Qualifications
For Data Architect I:
Bachelor's degree in Information Systems, Computer Science, or a quantitative discipline (Mathematics, Engineering, or related field)
One (1) year of equivalent formal training or work experience in data engineering
Basic knowledge of data engineering and AI frameworks, including design, development, and implementation of complex systems and data pipelines
Fundamental understanding of database systems, including design and development of large batch or online transaction-based systems
Experience as a contributing member of multi-functional project teams
Strong verbal and written communication skills
For Data Architect II:
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or equivalent
Two (2) years of equivalent work experience in measurement and analysis, quantitative business problem-solving, simulation development, and/or predictive analytics
Strong knowledge of data engineering and AI frameworks including design, development, and implementation of highly complex systems and data pipelines
Strong knowledge of database systems including design, development, and implementation of large batch or online transaction-based systems
Solid understanding of the transportation/logistics industry, competitors, and emerging technologies
Experience as a contributing member of multi-functional project teams
Strong verbal and written communication skills
For Data Architect III:
Bachelor's degree in Information Systems, Computer Science, or a quantitative discipline
Three to Four (3-4) years of equivalent work experience in measurement and analysis, quantitative business problem-solving, simulation development, and/or predictive analytics
Extensive knowledge of data engineering and AI frameworks including design, development, and implementation of highly complex systems and data pipelines
Extensive knowledge of database systems including design, development, and implementation of large batch or online transaction-based systems
Strong understanding of the transportation/logistics industry, competitors, and emerging technologies
Experience providing leadership in a training or consulting setting
Experience as a senior member of multi-functional project teams
Strong verbal and written communication skills
For Data Architect Lead:
Bachelor's degree in Information Systems, Computer Science, or a quantitative discipline
Five to Seven (5-7) years of equivalent work experience in measurement and analysis, quantitative business problem-solving, simulation development, and/or predictive analytics
Extensive knowledge of data engineering and AI frameworks including design, development, and implementation of highly complex systems and data pipelines
Extensive knowledge of database systems including design, development, and implementation of large batch or online transaction-based systems
Strong understanding of the transportation/logistics industry, competitors, and emerging technologies
Experience providing leadership in a training or consulting setting
Experience as a leader or senior member of multi-capability project teams
Strong verbal and written communication skills
Note: Sponsorship is not available for these positions. A related graduate degree may offset the experience requirements.
Preferred Skills and Technical Expertise
We are looking for candidates with strong technical backgrounds in:
Cloud Platforms: Extensive experience with Microsoft Azure tooling for large-scale data engineering projects, including Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics
Distributed Systems: Familiarity with distributed and cloud environments, with a deep understanding of optimizing computational considerations
Programming Languages: Strong development skills in Scala (including PySpark), Java, and Python
Data Processing Tools: Experience with Kafka and other high-volume data tools
Database Technologies: Proficiency with SQL and NoSQL storage tools such as MySQL, PostgreSQL, MongoDB, and CosmosDB
Data Formats: Experience with various data types including JSON, XML, Parquet, Avro, and unstructured data for both batch and streaming ingestion
Streaming Technologies: Ability to create and operationalize capabilities including near-real-time high-volume streaming scenarios
Containerization: Experience with Azure Kubernetes Services, Event Hubs, or related technologies for streaming implementations
DevOps Practices: Knowledge of Agile and DevOps practices for enterprise and software management, including CI/CD pipelines
Version Control: Comfort with distributed teams on code-based deliverables, using version control systems and code reviews
Infrastructure as Code: Working knowledge of Terraform for creating and deploying resources
Monitoring and Alerting: Experience developing and implementing alerting and monitoring strategies
API Integration: Data integration through APIs and/or REST services
Analytics Tools: PowerPlatform experience (PowerBI, PowerApp, PowerAutomate) is a plus
Competencies for Success
Engineering Mindset: Ability to make rapid, practical decisions to improve performance, accelerate progress, or maximize impact
Problem-Solving: Capacity to context-switch and offer support to distributed teams, acting as a " specialist programmer" to unblock challenging technical barriers
Collaboration: Proven ability to deliver technical projects with a team, often working under tight deadlines to deliver value
Communication: Excellent ability to translate between technical and business stakeholders, serving as a "universal translator" between IT, business, developers, and data scientists
Adaptability: Ability to work through evolving problems as they are still being defined
Work Environment and Culture
At arenaflex, we foster a collaborative, innovation-driven culture where every team member's contribution matters. You'll work alongside talented professionals across multiple disciplines, participating in code reviews and large-scale collaborations that push the boundaries of what's possible with enterprise data.
We embrace flexible work arrangements and support remote collaboration. Our teams are geographically distributed, and we leverage modern communication tools to stay connected and productive. You'll have access to ongoing training and development opportunities to sharpen your skills and stay current with emerging technologies.
Compensation and Benefits
arenaflex offers competitive compensation packages that reflect your experience, skills, and the value you bring to our team. For this role, the estimated monthly salary range is $6,317.00 - $15,477.00, depending on experience level and qualifications. Factors that may influence your actual compensation include skills, relevant experience, and geographic location.
Our comprehensive benefits package includes:
Health, dental, and vision insurance
Retirement savings plans with company matching
Paid time off and holidays
Professional development and tuition assistance
Employee discount programs
Wellness resources and programs
Location
This position can be domiciled anywhere in the United States. arenaflex supports remote work arrangements and has offices across the country to serve as collaborative hubs for our distributed teams.
How to Apply
Ready to make an impact? Here's how to apply:
Review the official job notification carefully
Prepare your current resume (Microsoft Word or PDF format only)
Complete the application form with accurate information
Attach required documents, including your qualifications certificate with mark sheets
Include a recent passport-sized photograph and your signature
Submit your application
We encourage you to apply at your earliest convenience—these positions are hiring immediately, and we're eager to welcome new talent to our team.
Join arenaflex Today
At arenaflex, we believe data is the key to unlocking extraordinary possibilities. Join our Dataworks team and help build the data infrastructure that powers global logistics. If you're passionate about data engineering, cloud architecture, and making an impact at scale, we invite you to apply and become part of something bigger than yourself.
arenaflex is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.
Join arenaflex: Build the Future of Data-Driven Logistics
Are you ready to transform how a global enterprise harness the power of data? arenaflex is seeking talented Data Architects and Engineers to join our cutting-edge Dataworks team—a centralized data platform that powers critical business decisions across the entire organization. If you're passionate about data engineering, cloud technologies, and building scalable solutions that impact millions of shipments daily, we want to hear from you.
At arenaflex, we don't just move packages—we move the world. Our Dataworks platform serves as the backbone for data ingestion, transformation, and pipelining across all business units, enabling everything from operational insights to predictive analytics that keep global logistics running smoothly. As a Data Architect or Engineer at arenaflex, you'll work at the intersection of technology and innovation, collaborating with IT professionals, business analysts, data scientists, and software developers to deliver value that matters.
Why arenaflex?
arenaflex is more than a logistics company—we're a technology powerhouse. With operations spanning 220+ countries and territories, we generate massive amounts of data every second. This data powers everything from route optimization and delivery predictions to customer experience improvements and supply chain innovations. When you join arenaflex, you're not just taking a job; you're joining a team that's redefining what's possible in the transportation and logistics industry.
We believe in investing in our people. Our employees enjoy comprehensive benefits, professional development opportunities, and the chance to work with state-of-the-art technologies. Whether you're an experienced Data Architect or an engineer looking to grow into architecture roles, arenaflex provides the environment and support you need to succeed.
Position Overview
We are currently recruiting for multiple levels of Data Architects and Engineers to support our growing Dataworks initiative. These roles offer the opportunity to work on enterprise-scale data platforms, build robust pipelines, and collaborate across multidisciplinary teams to deliver high-value data solutions.
Our Dataworks platform manages the end-to-end data lifecycle—from ingestion to transformation to delivery to end users and downstream systems. You'll be responsible for building tools, platforms, and pipelines that enable teams to analyze data, build models, and drive informed business decisions.
Key Responsibilities
As a member of the arenaflex Dataworks team, you will:
Design and develop data pipelines at massive scale, ensuring efficient ingestion and processing of data from multiple sources
Build tools and platforms that empower teams to analyze data cleanly and systematically, enabling them to build models and drive data-informed decisions
Scale solutions from individual contributor level to team-scale operations, addressing both infrastructure and problem-solving challenges
Collaborate across teams to generate data-driven operational insights that lead to high-value, improved solutions
Deliver tangible value quickly while working with diverse teams across different backgrounds and disciplines
Establish best practices for future reuse, creating reusable patterns, templates, and codebases
Engage with senior technologists across the enterprise and external partners to create synergies and ensure smooth integration with downstream systems
Maintain and optimize existing data environments and pipelines, investigating performance issues and providing Level 3 support
Implement parsers, validators, transformers, and correlators to reformat, update, and enhance data quality
Mentor junior team members and provide guidance to those in less senior positions
Lead data analysis, lineage studies, and initiatives to document and enhance data quality and accessibility
Essential Qualifications
For Data Architect I:
Bachelor's degree in Information Systems, Computer Science, or a quantitative discipline (Mathematics, Engineering, or related field)
One (1) year of equivalent formal training or work experience in data engineering
Basic knowledge of data engineering and AI frameworks, including design, development, and implementation of complex systems and data pipelines
Fundamental understanding of database systems, including design and development of large batch or online transaction-based systems
Experience as a contributing member of multi-functional project teams
Strong verbal and written communication skills
For Data Architect II:
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or equivalent
Two (2) years of equivalent work experience in measurement and analysis, quantitative business problem-solving, simulation development, and/or predictive analytics
Strong knowledge of data engineering and AI frameworks including design, development, and implementation of highly complex systems and data pipelines
Strong knowledge of database systems including design, development, and implementation of large batch or online transaction-based systems
Solid understanding of the transportation/logistics industry, competitors, and emerging technologies
Experience as a contributing member of multi-functional project teams
Strong verbal and written communication skills
For Data Architect III:
Bachelor's degree in Information Systems, Computer Science, or a quantitative discipline
Three to Four (3-4) years of equivalent work experience in measurement and analysis, quantitative business problem-solving, simulation development, and/or predictive analytics
Extensive knowledge of data engineering and AI frameworks including design, development, and implementation of highly complex systems and data pipelines
Extensive knowledge of database systems including design, development, and implementation of large batch or online transaction-based systems
Strong understanding of the transportation/logistics industry, competitors, and emerging technologies
Experience providing leadership in a training or consulting setting
Experience as a senior member of multi-functional project teams
Strong verbal and written communication skills
For Data Architect Lead:
Bachelor's degree in Information Systems, Computer Science, or a quantitative discipline
Five to Seven (5-7) years of equivalent work experience in measurement and analysis, quantitative business problem-solving, simulation development, and/or predictive analytics
Extensive knowledge of data engineering and AI frameworks including design, development, and implementation of highly complex systems and data pipelines
Extensive knowledge of database systems including design, development, and implementation of large batch or online transaction-based systems
Strong understanding of the transportation/logistics industry, competitors, and emerging technologies
Experience providing leadership in a training or consulting setting
Experience as a leader or senior member of multi-capability project teams
Strong verbal and written communication skills
Note: Sponsorship is not available for these positions. A related graduate degree may offset the experience requirements.
Preferred Skills and Technical Expertise
We are looking for candidates with strong technical backgrounds in:
Cloud Platforms: Extensive experience with Microsoft Azure tooling for large-scale data engineering projects, including Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics
Distributed Systems: Familiarity with distributed and cloud environments, with a deep understanding of optimizing computational considerations
Programming Languages: Strong development skills in Scala (including PySpark), Java, and Python
Data Processing Tools: Experience with Kafka and other high-volume data tools
Database Technologies: Proficiency with SQL and NoSQL storage tools such as MySQL, PostgreSQL, MongoDB, and CosmosDB
Data Formats: Experience with various data types including JSON, XML, Parquet, Avro, and unstructured data for both batch and streaming ingestion
Streaming Technologies: Ability to create and operationalize capabilities including near-real-time high-volume streaming scenarios
Containerization: Experience with Azure Kubernetes Services, Event Hubs, or related technologies for streaming implementations
DevOps Practices: Knowledge of Agile and DevOps practices for enterprise and software management, including CI/CD pipelines
Version Control: Comfort with distributed teams on code-based deliverables, using version control systems and code reviews
Infrastructure as Code: Working knowledge of Terraform for creating and deploying resources
Monitoring and Alerting: Experience developing and implementing alerting and monitoring strategies
API Integration: Data integration through APIs and/or REST services
Analytics Tools: PowerPlatform experience (PowerBI, PowerApp, PowerAutomate) is a plus
Competencies for Success
Engineering Mindset: Ability to make rapid, practical decisions to improve performance, accelerate progress, or maximize impact
Problem-Solving: Capacity to context-switch and offer support to distributed teams, acting as a " specialist programmer" to unblock challenging technical barriers
Collaboration: Proven ability to deliver technical projects with a team, often working under tight deadlines to deliver value
Communication: Excellent ability to translate between technical and business stakeholders, serving as a "universal translator" between IT, business, developers, and data scientists
Adaptability: Ability to work through evolving problems as they are still being defined
Work Environment and Culture
At arenaflex, we foster a collaborative, innovation-driven culture where every team member's contribution matters. You'll work alongside talented professionals across multiple disciplines, participating in code reviews and large-scale collaborations that push the boundaries of what's possible with enterprise data.
We embrace flexible work arrangements and support remote collaboration. Our teams are geographically distributed, and we leverage modern communication tools to stay connected and productive. You'll have access to ongoing training and development opportunities to sharpen your skills and stay current with emerging technologies.
Compensation and Benefits
arenaflex offers competitive compensation packages that reflect your experience, skills, and the value you bring to our team. For this role, the estimated monthly salary range is $6,317.00 - $15,477.00, depending on experience level and qualifications. Factors that may influence your actual compensation include skills, relevant experience, and geographic location.
Our comprehensive benefits package includes:
Health, dental, and vision insurance
Retirement savings plans with company matching
Paid time off and holidays
Professional development and tuition assistance
Employee discount programs
Wellness resources and programs
Location
This position can be domiciled anywhere in the United States. arenaflex supports remote work arrangements and has offices across the country to serve as collaborative hubs for our distributed teams.
How to Apply
Ready to make an impact? Here's how to apply:
Review the official job notification carefully
Prepare your current resume (Microsoft Word or PDF format only)
Complete the application form with accurate information
Attach required documents, including your qualifications certificate with mark sheets
Include a recent passport-sized photograph and your signature
Submit your application
We encourage you to apply at your earliest convenience—these positions are hiring immediately, and we're eager to welcome new talent to our team.
Join arenaflex Today
At arenaflex, we believe data is the key to unlocking extraordinary possibilities. Join our Dataworks team and help build the data infrastructure that powers global logistics. If you're passionate about data engineering, cloud architecture, and making an impact at scale, we invite you to apply and become part of something bigger than yourself.
arenaflex is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.