Lead Data Architect ( Full Time, Remote)

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.