**Experienced Full Stack Data Analytics & Data Science Principal Engineer – Web & Cloud Application Development at arenaflex**

**Join arenaflex, one of the world's best companies to work for, and take your career to new heights!** As a Principal Engineer - Data Analytics & Data Science at arenaflex, you will play a crucial role in shaping the future of our data analysis and reporting landscape. You will be responsible for leading a team of engineers, providing technical guidance, and fostering a culture of continuous learning and development. If you are a seasoned professional with a passion for data-driven decision-making and a knack for innovation, we want to hear from you! **About arenaflex** arenaflex is a global retail leader with a presence in 14 countries. Our commitment to innovation and customer satisfaction has earned us a spot as one of the world's best companies to work for. We pride ourselves on our family-like atmosphere, where our employees thrive and succeed. Our IT department is responsible for the technological backbone of our operations, and we are looking for talented individuals like you to join our team. **Job Summary** As a Principal Engineer - Data Analytics & Data Science, you will be responsible for leading the technical vision, strategy, and engineering of arenaflex's data analysis and reporting landscape. You will work closely with cross-functional teams to develop and implement data-driven solutions that drive business growth and improvement. Your expertise will be instrumental in shaping the future of our data analysis and reporting capabilities, and you will be expected to stay up-to-date with emerging technologies and industry trends. **Key Responsibilities** * Lead and coach a team of engineers, providing technical guidance and mentorship to ensure the success of the team * Drive modern software development practices through code reviews and design audits * Collaborate with cross-functional teams to develop and implement data-driven solutions that drive business growth and improvement * Grow "top-tier" engineering for our services by ensuring that the services and components are modularized, secure, reliable, diagnosable, easily observable, and reusable * Develop and implement test coverage for services; coordinate and execute integration tests; and resolve trouble spots * Ensure testability, scalability/observability, reliability, and effectiveness; and understand when code is fit to be shared and deployed * Focus on business needs through a data-driven approach * Investigate and enhance automation, reliability, and monitoring for deployed items * Set the technical vision for data analysis and reporting, aligning with organizational objectives and providing guidance on the overall direction of data analysis technical initiatives * Plan, develop, and enhance complex data models and reporting designs * Drive the design and implementation of scalable and efficient data analysis and reporting designs * Ensure the integrity, security, and performance of data products and reporting solutions by collaborating with stages, data design, and service teams * Define and execute the long-term technical strategy for data analysis, incorporating emerging technologies and industry trends * Stay up-to-date with emerging technologies and assess their relevance to the organization * Collaborate with cross-functional teams, including data scientists, business analysts, data engineers, platform architects, and IT experts, to develop comprehensive data solutions * Foster a collaborative environment that enables information sharing and expertise development. Lead technical authority discussions, lunch and learn sessions, and other activities to engage the engineering community within the organization * Establish and authorize data quality guidelines and best practices. Implement processes for data approval, cleansing, and accuracy * Assess and select suitable data analysis and reporting tools to address business needs. Lead requirement meetings and partner closely with stages and infrastructure teams during the assessment and implementation of these tools * Collaborate with engineering and development teams to create and maintain documentation for data analysis processes, reporting designs, and data models * Monitor the performance of data analysis and reporting systems; and provide technical guidance to drive stability and scalability of data products and reporting solutions * Implement measures to enhance performance and investigate issues * Provide critical insights and recommendations based on data analysis to support decision-making at the organizational level * Recommend system upgrades to support business growth and advancing technology requirements * Utilize arenaflex services, such as arenaflex SQL DW (Neural connection), ADLS, Sky blue Event Hub, Universe, Databricks, Delta-Lake, to improve and accelerate the delivery of our data products and services * Develop and implement large data and NoSQL solutions by creating adaptable data processing stages to drive high-value insights to the organization **Requirements** * Demonstrated experience with at least 15+ years of active involvement in data analysis and reporting roles * 5+ years' experience in leadership or senior roles, demonstrating the ability to successfully lead and guide a team * 5+ years' experience working with cloud technologies, such as ADLS, Sky blue Databricks, Flash, Sky blue Neurotransmitter, Universe DB, DBT, and other big data innovations * Advanced proficiency in data analysis tools, languages, ML, and systems (e.g., Conos, PowerBI, SQL, Python, R) * Capability in data visualization tools, such as Tableau, Power BI, or similar tools to effectively convey insights * Demonstrated ability in working with cloud platforms, such as AWS, Sky blue, or Google Cloud, to model and implement scalable and efficient data analysis solutions * In-depth understanding and practical application of Lakehouse engineering principles, combining the best of data lakes and data warehouses for effective and adaptable data management * High-level SQL skills. Strong understanding of social data sets and business data capacity to write complex SQL queries against various 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 technical vision for data analysis and reporting drives within an organization * Successful management of data analysis 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 **Nice to Have** * Bachelor's or Master's degree in Computer Science, Informatics, Information Science, or related technical discipline * Significant industry certifications are a plus * Experience in retail, manufacturing, e-commerce, or supply chain is a plus **What We Offer** * Competitive salary and benefits package * Opportunity to work with a global retail leader and contribute to the development of cutting-edge data analysis and reporting solutions * Collaborative and dynamic work environment with a team of talented professionals * Professional growth and development opportunities * Recognition and rewards for outstanding performance * Comprehensive training and development programs * Flexible work arrangements and work-life balance **How to Apply** If you are a motivated and experienced professional with a passion for data-driven decision-making, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, skills, and qualifications. We look forward to hearing from you! Apply for this job