Job Opportunities API

Objective of the  R ole: As a  Technical Data Architect (IC5) , you will be the visionary and strategic  leader  shaping our global data and AI architecture strategy. You will define the technical direction for the organization's data ecosystem, ensuring it scales to meet long-term business goals.  Operating in a highly autonomous environment, you will champion technical excellence, innovation, and total ownership, balancing strategic vision with a hands-on approach to problem-solving. Additionally, you will act as a key Spin Culture Ambassador , driving institutional values, fostering a collaborative, elite engineering culture, and mentoring the next g eneration of technical leaders.     Main  Responsibilities: Strategic & Enterprise Architecture   Enterprise Data Strategy:  Define, evolve, and execute a comprehensive enterprise data and AI architecture roadmap aligned with long-term business and product goals.    Innovation & Future-Proofing:  Drive cutting-edge innovation in data frameworks, emerging big data technologies, and AI-driven data solutions to maintain a competitive edge.    Data Integration & Ecosystem Governance:  Oversee and design global integration patterns for highly diverse, massive-scale data sources, ensuring absolute consistency and seamless data flows across the entire organization.    Technical Leadership & Governance   High-Impact Mentorship:  Provide strategic technical guidance, career development, and mentorship to Lead Data Engineers, Data Model Leads, DataOps Leads, and other senior technical staff.    Global Standards & Documentation:  Establish, institutionalize, and enforce company-wide data architecture standards, design patterns, and comprehensive technical documentation.    Data Quality & Governance Frameworks:  Architect and oversee enterprise-level data governance and data quality frameworks to guarantee data democratization with absolute accuracy, security, and compliance.    Core Data Governance & Code Review:  Act as the ultimate technical gatekeeper for core database structures; creating, enforcing, and reviewing data schemas, new database columns, tables, and complex queries to guarantee maximum optimization, indexing efficiency, and performance.   Solution Engineering & Performance Optimization   Next-Gen Solution Design:   Next-Gen Solution Design: Spearhead the conceptualization, architectural design, and technical proof-of-concepts (PoC) of complex, large-scale data systems, including cloud-native data lakes, mesh architectures, advanced ETL/DTL pipelines, and real-time streaming engines.   Extreme Performance & Scalability:  Define the strategy for monitoring, auditing, and optimizing hyper-scale data systems for maximum performance, reliability, and cost-efficiency.    Cross-Functional Collaboration:  Partner closely with executive stakeholders, product leaders, and engineering directors to translate complex business needs into robust, scalable technical architectures.    Database Administration (DBA) & High-Availability Replication:  Design, direct, and execute high-availability data replication strategies between heterogeneous database engines (e.g., Oracle to cloud-native systems like Amazon Aurora), while overseeing advanced operational DBA and tuning tasks.   Culture & Organizational Excellence   Autonomous Culture Champion:  Cultivate and scale a high-trust, autonomous work environment that promotes extreme ownership, pro