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Urgent! Fanatics - Principal Software Engineer - Data Platform Job Opening In Hyderabad – Now Hiring Fanatics

Fanatics Principal Software Engineer Data Platform



Job description

<p><p><b>Job Description</b><br/><br/>Principal Software Engineer<br/><br/>The Platforms organization at Fanatics is at the heart of our company's data-driven decision making, building foundational capabilities that empower our application/data engineers and data scientists to unlock the power of data.<br/><br/> We work relentlessly on enhancing the fan experience With Exciting Projects Across a Diverse Landscape, Including Commerce Applications: Architecting and designing D2C and B2B commerce applications with workloads distributed across a multi-cloud topology to engage fans around the world.<br/><br/>Storage Infrastructure: Building and managing scalable and reliable data storage solutions.<br/><br/>Streaming Data Processing: Handling real-time data pipelines with high throughput and low latency.<br/><br/>Data & Workflow Orchestration: Coordinating complex data processing workflows with efficiency and reliability.<br/><br/>Messaging Infrastructure: Ensuring secure and efficient communication between applications.<br/><br/>Big Data Processing: Analyzing massive datasets with speed and accuracy.<br/><br/>Data Warehouse: Providing a centralized and accessible repository for historical data.<br/><br/>Real Time OLAP Databases: Enabling fast and interactive data analysis for insights on the fly.<br/><br/>AI & ML Platforms: Building and maintaining a robust platform that supports the development and deployment of impactful ML models to power applications in areas such as recommender systems and inventory intelligence<br/><br/><b>The Opportunity :</b><br/><br/>We are seeking a passionate and experienced Principal Engineer to play a key role in shaping the future of our application, cloud, and data platforms at Fanatics.<br/><br/> As a technical leader in the organization, you will be responsible for driving technical innovation, leading large initiatives, and mentoring junior engineers.<br/><br/> You will have the opportunity to contribute to building scalable solutions that will empower our entire company to make data-driven decisions and operate more :</b><br/><br/>- Design and drive the technical roadmap for the evolution of our platforms, ensuring they are scalable, reliable, and meet the evolving needs of the business.<br/><br/>- Lead large initiatives within the broader Fanatics tech org, collaborating effectively with cross-functional teams including engineering, data science, and product management.<br/><br/>- Provide mentorship and guidance to junior engineers, fostering their growth and development within the team.<br/><br/>- Build data platforms that promote standardization, including data pipeline development, platform tooling, data lake formatting, and data democratization.<br/><br/>- Build and maintain the AI/ML infrastructure to support Fanatics' AI/ML needs, with a focus on standardized MLOps practices, accelerating the adoption and deployment of impactful AI/ML applications across the company.<br/><br/>- Champion data and AI governance best practices, establishing and enforcing data processing principles, design patterns, and practices.<br/><br/>- Build strong cross-functional partnerships with teams across the organization, influencing them to adopt best practices and collaborate effectively.<br/><br/><b>Qualifications :</b><br/><br/>- 13+ years of experience leading the development of modern cloud-based applications and their integration into a common data platform (or data mesh) to enable business intelligence and optimization.<br/><br/>- Deep technical understanding of distributed systems architecture and the integration of operational systems with analytical systems to enable anomaly detection, business process mining, and optimization at scale.<br/><br/>- Strong expertise in the big data ecosystem, including tools like Apache Kafka, Spark,Iceberg, Airflow, AWS S3, data modeling, data warehouses, OLAP databases, etc.<br/><br/>- Proven experience in data processing, orchestration, data engineering, data quality management, and data governance.<br/><br/>- Excellent communication skills, with the ability to collaborate effectively across teams and provide clear and concise technical guidance.<br/><br/>- Experience with AI/ML platforms and a working knowledge of how data scientists leverage data for AI is a strong plus</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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