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Lead Data Architect ( Full Time, Remote) at Hike. At Hike, we’re building the Rush Gaming Universe 🎮 📲 💰. To know more, check out. work.hike.in. Hike Code 📝( Our core cultural values ). The Hike Code is our cultural operating system. It is our set of values that guides us operationally on a day-to-day basis. We have 9 core values:. . Top Talent in Every Role → Both a quest for greatness & shared values are important to us 🦸‍♂️. . Owner not a Renter → Proactive & radically responsible. Everyone is an owner 🤝. . Pro-Sports Team → Strength-based, results driven with a "team-first" attitude ⚽️. . Customer Obsession → We exist to delight our customers 😃. . Think Deeply & Exercise Good Judgement → Clear mind, obsession to simplify & data-informed 🙇‍♀️. . Build & Make Magic → Courage to walk into the unknown and pioneer new fronts 🙀. . Be Insatiably Curious & Keep Improving → Curiosity to acquire new perspectives, quickly 👨‍🏫. . Move Fast & Be Dynamic → Ruthless prioritization & move fast 🙋‍♂️. . Dream Big, Be Bold & Think Long Term → Courage to climb big mountains 🚀. . Skills & experience we're looking for 👨‍💻. . 7+ years of experience building scalable data architectures, including modern data platforms, distributed systems, and enterprise-grade analytics stacks | Top Talent in Every Role. . Proven track record of architecting end-to-end solutions on Azure and/or AWS, leveraging tools like Databricks, Microsoft Fabric, Delta Lake, and serverless compute | Top Talent in Every Role. . Deep expertise in SQL, Python, and programming languages like .NET or Java, with experience designing APIs and data products in microservices environments | Top Talent in Every Role. . . Demonstrated experience building cloud-native, modular data platforms that support real-time, streaming, and batch workloads at scale | Build & Make Magic. . Mastery of data modeling, data lakes, lakehouses, warehousing, mesh architecture, and building high-quality, reusable datasets for analytics and ML | Think Deeply. . Hands-on experience integrating data infrastructure for AI/ML, supporting pipelines for personalization, predictive insights, and experimentation | Be Curious & Keep Improving. . Comfort with managing complex architecture across large teams, enabling governed, high-performance, and cost-optimized data operations | Owner not a Renter. . Strong understanding of security, observability, CI/CD for data, and data compliance frameworks such as GDPR and SOC2 | Top Talent in Every Role. . Excellent communication and leadership skills, able to align cross-functional stakeholders, mentor engineers, and influence product and business strategy | Pro-Sports Team. . Experience with data governance, lineage tracking, and metadata management, ensuring discoverability and reliability of all data assets | Customer Obsession. . Track record of continuously evolving tech stacks and adopting emerging tools, including AI-assisted data engineering and LLM data prep techniques | Be Curious & Keep Improving. . . You will 📲. . Strategy → Define and evolve the architecture of Rush’s data ecosystem, aligning our platform and infrastructure with the long-term goals of gameplay intelligence, personalization, and monetization. . Strategy → Set a bold, AI-forward data architecture roadmap, designing for extensibility, low-latency performance, and innovation in a high-growth gaming and fintech hybrid environment. . Leadership → Lead architectural design and reviews, coach data engineers and analytics engineers on best practices, and cultivate a performance-driven, experimentation-friendly data culture. . Operations → Own and optimize end-to-end data systems — including ingestion, transformation, lineage, quality monitoring, and consumption layers — ensuring trust, availability, and speed at scale. . Operations → Design and build foundational data assets and reusable components — enabling analytics, machine learning, and event-driven personalization for our players. . Operations → Champion governance, metadata, and access control frameworks that scale, while empowering decentralized data ownership and discoverability across teams. . Operations → Architect self-serve data platforms and tooling for analytics, experimentation, and ML, reducing engineering dependency and increasing velocity for decision-making. . Operations → Drive observability, reliability, and cost efficiency in our platform with real-time monitoring, capacity planning, and automated alerting. . Collaboration → Work closely with Product, Engineering, Analytics, and Infra teams to drive unified data strategies, support experimentation, and create business value through data. . Collaboration → Be the primary evangelist for architectural clarity, technical excellence, and long-term thinking in data — influencing across domains and ensuring scalability as we grow. . 💰 Benefits . We have tremendous benefits & perks. Check out. . work.hike.in. to know more.. Company Location: India.