Experienced Full Stack Data Engineer – Cloud-Based Data Analytics & Science

Join arenaflex as a Principal Engineer in Data Analytics & Data Science and shape the future of data-driven decision-making Are you a seasoned data expert looking to leverage your skills in cloud-based data analytics and science to drive business growth and innovation? Do you have a passion for leading high-performing teams and developing cutting-edge data solutions? If so, we invite you to join arenaflex as a Principal Engineer in Data Analytics & Data Science.

About arenaflex

arenaflex is a leading organization that has revolutionized the way businesses approach data-driven decision-making. With a strong commitment to innovation and excellence, we have established ourselves as a trusted partner for organizations seeking to unlock the full potential of their data. Our team of experts is dedicated to delivering world-class data solutions that drive business growth, improve operational efficiency, and enhance customer experiences.

Job Summary

As a Principal Engineer in Data Analytics & Data Science, you will play a critical role in shaping the future of data-driven decision-making at arenaflex. You will lead a team of data experts in developing and implementing cutting-edge data solutions that drive business growth and innovation. Your expertise in cloud-based data analytics and science will enable you to design and deliver data solutions that meet the evolving needs of our customers.

Key Responsibilities

* Lead and coach a team of data experts in developing and implementing cutting-edge data solutions

• Provide technical direction and mentorship to team members, ensuring they have the skills and knowledge required to excel in their roles
• Collaborate with cross-functional teams, including data researchers, business analysts, data engineers, and IT experts, to develop comprehensive data solutions
• Design and develop data models and reporting structures that meet the evolving needs of our customers
• Drive the development and implementation of data analytics and science solutions that drive business growth and innovation
• Ensure the integrity, security, and performance of data products and reporting solutions by collaborating with stages, data architecture, and operations teams
• Define and implement the long-term technical strategy for data analytics and science, incorporating emerging technologies and industry trends
• Stay up-to-date with emerging technologies and evaluate their relevance to arenaflex
• Cultivate a collaborative environment that encourages information sharing and expertise development
• Lead technical authority meetings, lunch and learn sessions, and other community-building activities within the data engineering community
• Establish and uphold data quality principles and best practices, executing processes for data validation, cleansing, and accuracy
• Assess and select suitable data analytics and science tools to address business needs, leading requirement meetings and collaborating closely with stages and infrastructure teams during assessment and implementation
• Partner with engineering and development teams to create and maintain documentation for data analytics processes, reporting structures, and data models
• Monitor the performance of data analytics and science solutions and provide technical leadership to drive security and agility of data products and reporting solutions
• Implement measures to streamline performance and investigate issues
• Provide critical insights and recommendations based on data analysis to support decision-making at the organizational level
• Recommend infrastructure upgrades to support business growth and advancing technology needs
• Utilize arenaflex services, such as Azure SQL DW (Neurotransmitter), ADLS, Azure Event Hub, Universe, Data bricks, Delta-Lake, to enhance and accelerate delivery of our data products and services
• Develop large data and NoSQL solutions by creating adaptable data processing stages to drive high-value insights to the organization

Requirements

* Proven track record of at least 15+ years of active experience in data analytics and science roles

• 5+ years of experience in leadership or senior roles, demonstrating the ability to effectively guide and lead a team
• 5+ years of experience working with cloud technologies, such as ADLS, Azure Databricks, Azure, Azure Neural Network, Universe DB, DBT, and other big data innovations
• Demonstrated advanced proficiency in data analytics tools, languages, ML, and frameworks (e.g., Conos, PowerBI, SQL, Python, R)
• Capability in data visualization tools, such as Tableau, Power BI, or similar tools, to effectively communicate insights
• Demonstrated ability in working with cloud platforms, such as AWS, Azure, or Google Cloud, to design and implement adaptable and efficient data analytics solutions
• In-depth understanding and practical application of Lakehouse design standards, combining the best of data lakes and data warehouses for effective and adaptable data management
• High-level SQL skills. Strong understanding of social databases and business data storage to write complex SQL queries against multiple data sources
• Experience managing high-volume and high-speed data streams, and designing systems that can handle the demands of real-time or near-real-time analysis
• Experience in shaping the essential vision for data analytics and science drives within an organization
• Effective management of data analytics projects, including planning, execution, and delivery
• Demonstrated ability to drive innovation, adapt to emerging technologies, and implement industry best practices
• Demonstrated ability to take ownership and accountability of critical issues and resolve them to closure
• Strong critical thinking and problem-solving skills

Preferred Qualifications

* Bachelor's or Master's degree in Computer Science, Informatics, Data Science, or related technical discipline

• Relevant industry certifications are a plus
• Experience in retail, manufacturing, e-commerce, or supply chain

Compensation and Benefits

* Salary range: $160,000 - $230,000

• Bonus and Restricted Stock Unit Eligible
• Comprehensive benefits package, including paid time off, medical benefits (clinical/dental/vision/hearing aid/pharmacy/social well-being/employee assistance), healthcare reimbursement account, dependent care assistance plan, short-term and long-term disability insurance, AD&D insurance, life insurance, 401(k), stock purchase plan to eligible employees

How to Apply

If you are a seasoned data expert looking to join a dynamic team and shape the future of data-driven decision-making, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. Apply for this job