Hike is seeking a Lead Data Architect for a full-time remote position to help build the Rush Gaming Universe.
The role involves defining and evolving the architecture of Rush’s data ecosystem, aligning it with long-term goals of gameplay intelligence, personalization, and monetization.
The candidate will set a bold, AI-forward data architecture roadmap, focusing on extensibility, low-latency performance, and innovation in a high-growth gaming and fintech hybrid environment.
Responsibilities include leading architectural design and reviews, coaching data engineers and analytics engineers, and cultivating a performance-driven data culture.
The Lead Data Architect will own and optimize end-to-end data systems, ensuring trust, availability, and speed at scale.
The role requires designing and building foundational data assets and reusable components for analytics, machine learning, and event-driven personalization.
The candidate will champion governance, metadata, and access control frameworks that empower decentralized data ownership and discoverability across teams.
The position involves architecting self-serve data platforms and tooling for analytics, experimentation, and machine learning, reducing engineering dependency.
The Lead Data Architect will drive observability, reliability, and cost efficiency in the platform with real-time monitoring and automated alerting.
Collaboration with Product, Engineering, Analytics, and Infra teams is essential to drive unified data strategies and create business value through data.
Requirements:
The candidate must have 7+ years of experience building scalable data architectures, including modern data platforms and enterprise-grade analytics stacks.
A proven track record of architecting end-to-end solutions on Azure and/or AWS, using tools like Databricks, Microsoft Fabric, Delta Lake, and serverless compute is required.
Deep expertise in SQL, Python, and programming languages like .NET or Java, with experience in designing APIs and data products in microservices environments is necessary.
Demonstrated experience in building cloud-native, modular data platforms that support real-time, streaming, and batch workloads at scale is essential.
Mastery of data modeling, data lakes, lakehouses, warehousing, mesh architecture, and building high-quality, reusable datasets for analytics and machine learning is required.
Hands-on experience integrating data infrastructure for AI/ML, supporting pipelines for personalization, predictive insights, and experimentation is needed.
The candidate should be comfortable managing complex architecture across large teams, enabling governed, high-performance, and cost-optimized data operations.
A strong understanding of security, observability, CI/CD for data, and data compliance frameworks such as GDPR and SOC2 is necessary.
Excellent communication and leadership skills are required to align cross-functional stakeholders, mentor engineers, and influence product and business strategy.
Experience with data governance, lineage tracking, and metadata management to ensure discoverability and reliability of all data assets is essential.
A track record of continuously evolving tech stacks and adopting emerging tools, including AI-assisted data engineering and LLM data prep techniques, is required.
Benefits:
Hike offers tremendous benefits and perks, which can be explored further on their website.
The company promotes a culture of ownership, curiosity, and continuous improvement, aligning with their core values.
Employees are encouraged to be proactive and responsible, fostering a team-first attitude and customer obsession.
The work environment supports innovation and the courage to explore new ideas, contributing to personal and professional growth.
