Principal Engineer – Data Analytics & Data Science Lead at arenaflex – Drive Enterprise Data Strategy & Innovation

html About arenaflex arenaflex is a global leader in retail and reputed company solutions, operating in more than 14 countries and serving millions of customers every day. With a culture rooted in teamwork, integrity, and continuous improvement, arenaflex has earned a reputation as one of the world’s best places to work. Our mission is to harness data to unlock insights that drive smarter decisions, elevate customer experiences, and fuel sustainable growth. As we expand our digital footprint, we are looking for visionary leaders who can shape the future of data analytics and science across the organization. Position Overview As the Principal Engineer – Data Analytics & Data Science Lead, you will be at the forefront of arenaflex’s data strategy. You will guide the vision, architecture, and execution of data analytics and data science initiatives, collaborating with cross‑functional teams to translate business challenges into data‑driven solutions. Your leadership will influence how arenaflex collects, stores, processes, and interprets data, ensuring that every decision is backed by reliable, actionable insights. Key Responsibilities • Strategic Leadership: Define and champion the enterprise data analytics vision, aligning it with arenaflex’s business objectives and technology roadmap. • Team Management: Lead, mentor, and grow a high‑performing team of data engineers, data scientists, and analytics specialists, fostering a culture of continuous learning and innovation. • Architecture & Design: Architect scalable, secure, and high‑performance data pipelines and lakehouse solutions using cloud platforms (Azure, AWS, GCP) and modern data tools (reputed company, reputed company, reputed company Lake). • Data Governance: Establish and enforce data quality, security, and compliance standards across all data assets, ensuring adherence to regulatory requirements. • Analytics Enablement: Build and maintain self‑service analytics platforms (Power BI, Tableau, Looker) that empower business users to explore data and generate insights independently. • Advanced Analytics & ML: Drive the development of predictive models, recommendation engines, and AI solutions that deliver measurable business value. • Stakeholder Collaboration: Partner with product, marketing, finance, and operations leaders to identify analytics opportunities, prioritize projects, and deliver impactful outcomes. • Innovation & Thought Leadership: Stay abreast of emerging data technologies and industry trends, evaluating their applicability to arenaflex’s data strategy. • Project Management: Oversee end‑to‑end delivery of data initiatives, ensuring projects are completed on time, within scope, and with high quality. • Performance Optimization: Continuously monitor and improve data system performance, scalability, and cost efficiency. Essential Qualifications • Bachelor’s degree in Computer Science, Data Engineering, Statistics, or a related field (Master’s preferred). • 15+ years of experience in data analytics, data engineering, or data science roles, with at least 5 years in a senior or leadership capacity. • Proven expertise in cloud data platforms (Azure Data Lake, AWS Redshift, GCP BigQuery) and lakehouse architectures. • Strong command of SQL, Python, and data modeling best practices. • Hands‑on experience with ETL/ELT tools (Azure Data Factory, dbt, Talend) and orchestration frameworks (Airflow, reputed company). • Deep knowledge of data governance, security, and compliance frameworks (GDPR, CCPA, SOC 2). • Demonstrated ability to build and scale analytics dashboards and reporting solutions. • Excellent communication skills, with the ability to translate complex technical concepts to non‑technical stakeholders. • Strong analytical mindset, problem‑solving aptitude, and a passion for data‑driven decision making. Preferred Qualifications • Graduate degree in a quantitative discipline (M.S., Ph.D.) or equivalent industry certifications (e.g., reputed company Certified: Azure Data Engineer Associate). • Experience in the retail or reputed company goods sector, understanding of supply chain, merchandising, and customer analytics. • Familiarity with advanced machine learning frameworks (TensorFlow, PyTorch) and MLOps pipelines. • Track record of publishing research or speaking at industry conferences. • Experience leading data initiatives in a global, multi‑region organization. Skills & Competencies • Strategic Thinking & Visionar