IC5 - Data Architect

• 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 generation of technical leaders. 

• Experience: 7+ years of proven experience in Data Architecture, Enterprise Data Engineering, and/or AI Systems Architecture (with a track record of leading architectural transformations at an enterprise level).  

Technical Skills 

• Expert Data Modeling: Master-level proficiency in relational/non-relational database design, advanced SQL, complex DTL/ETL architectural patterns, and data mesh concepts. Deep expertise in RDBMS performance tuning, query optimization, indexing strategies, and database migration (specifically Oracle to AWS Aurora setups). 

• Hyper-Scale Streaming & Real-Time Data: Deep experience designing production-grade, ultra-low latency real-time data architectures (e.g., advanced integration between AWS Kinesis/Kafka and Databricks).  

• Cloud & Big Data Platforms: Extensive expertise with multi-cloud or deep single-cloud setups (AWS, GCP, Azure) and distributed computing technologies (Databricks, Spark, Hadoop, Delta Lake).  

• AI & Machine Learning Data Infrastructure: Robust experience architecting data pipelines and infrastructure specifically tailored for machine learning (MLOps), LLMs, and AI-driven applications.  

Soft Skills & Leadership 

• Strategic Influence: Exceptional ability to influence both technical teams and non-technical executives without direct authority. 

• Problem Solving & Communication: Elite analytical skills coupled with outstanding communication, presentation, and collaboration abilities.  

• Proactive Innovation: A relentless drive for continuous learning and the ability to instill that passion into the engineering organization.  

Preferred Qualifications 

• Industry Certifications: Enterprise Architecture certifications (e.g., TOGAF) or Professional/Expert-level cloud certifications (AWS Certified Data Engineer, Databricks Solutions Architect, etc.).  

• Data Governance Expertise: Deep knowledge of international compliance standards (GDPR, CCPA, etc.) and data privacy architecture.  

• English Level: Bilingual / Advanced.