Principal Data Engineer II

Let’s start with the role

As a Principal Data Engineer Level 2, you will lead the design and development of a next-generation, high-performance analytics platform that enables real-time insights and user interactions. With a deep understanding of both data engineering and analytics, you will determine the best-fit technologies and architectures to support our analytics ecosystem, ensuring high concurrency, low latency, and robust scalability. This role focuses on driving technical excellence and setting a strategic direction for our technology stack, making impactful decisions to enable our teams to deliver cutting-edge solutions.

As a Principal Data Engineer II you will:

• Architect & Innovate: Design a secure, scalable, and high-performance analytics platform, enabling real-time data processing and low-latency data access to support interactive user experiences and internal analytics.
• Strategic Technical Roadmap: Define the long-term technical roadmap for the analytics platform unencumbered by the more time-sensitive business needs of the product roadmap.
• Drive Technical Excellence: Establish and uphold best practices in data architecture, data modeling, and technology selection, ensuring adherence to data governance standards and leading FinOps initiatives for cost-effective, resource-efficient solutions.
• Mentorship: Collaborate with Principal Analytics and Data Engineers and other senior engineers to share insights, tackle complex technical challenges, and promote best practices across teams, fostering a culture of continuous learning and technical growth.
• Optimize Performance: Lead efforts to identify and resolve bottlenecks, ensuring the analytics platform is optimized for cost efficiency, reliability, and high-speed data access.
• Seamless Integration: Work cross-functionally with teams and stakeholders to embed the analytics platform within the organization’s broader data architecture, ensuring smooth interoperability across systems.
• Stay Ahead: Keep pace with emerging technologies, leveraging innovations to enhance the analytics platform’s capabilities and align with strategic goals.

What You’ll Bring:

• 10+ years of experience in data engineering, with deep expertise in data architecture, distributed systems, and large-scale analytics platforms
• Proven track record in designing, implementing, and optimizing data pipelines, real-time processing systems, and microservices architectures, with a solid understanding of data modeling and governance principles
• Strong experience with Azure data services, Databricks, Delta Lake, and related analytics technologies, as well as experience with message brokers such as Kafka or RabbitMQ and messaging patterns
• Proficiency in DevOps practices and containerization technologies, and an understanding of FinOps principles to drive cost-effective and resource-efficient solutions
• Ability to work independently on highly complex tasks, keeping in mind aspects like performance, security, observability, and scalability, with a proactive approach to problem-solving
• Passion for monitoring, troubleshooting, and optimizing production systems, making data-driven decisions to enhance platform reliability and performance
• Excellent communication and collaboration skills, capable of conveying technical insights effectively to a diverse audience, from stakeholders to cross-functional technical teams, providing technical guidance and vision
• Enthusiasm for staying up-to-date on emerging technologies and applying them to drive innovation within the analytics platform

Nice to Have:

• Bachelor’s degree in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering) or equivalent industry experience.
• Experience with the Microsoft BI stack (SQL Server, SSRS, SSAS).

Kaizen Gaming Perks

🕑 We offer both work from the office (hybrid model) & remote working options.🏃 A buddy will support you with your onboarding.💸Competitive salary package and bonus scheme.👩‍⚕️ Health and life insurance for you and your family.📚 Unlimited access to Udemy & continuous training for all your learning and development needs.💰 Monthly allowance for lunch & commuting expenses.💻Nice rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD.⭐Clear career paths & a developmental 360° feedback framework.

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