Solution Architect Data & AI

Responsibilities

• Design End-to-End Cloud Native architectures for data management throughout the entire lifecycle
• Design, develop, and maintain Cloud Native ETL and ELT pipelines
• Design and implement API-Driven and Event-Driven solutions
• Design, develop, and manage ML/AI pipelines
• Design and implement solutions based on Agentic components
• Optimize performance, costs, and reliability of solutions from the design phase
• Ensure data quality, security, and data governance across all solutions
• Collaborate with cross-functional teams (Data Science, BI, IT, Business) and provide technical leadership
• Document technical solutions and contribute to knowledge sharing

Requirements

• Proven experience with Hyperscalers (GCP, AWS, or Azure)
• Experience with Data Pipelines, Data Management, or Data Analytics services (e.g., Databricks, BigQuery, Redshift)
• High proficiency in Python (OOP and Data Science contexts like numpy, pandas, polars)
• Knowledge of Python frameworks (FastAPI, Pydantic) and Agentic frameworks (PydanticAI, Google ADK, FastMCP)
• Experience with modern data formats (Parquet, Apache Iceberg)
• Strong knowledge of Cloud Native and Open Source frameworks for data management
• Proficiency with GIT and DevOps/DevSecOps practices
• STEM or Computer Science degree
• 4-5 years of experience in Solution Architecture or Data Engineering
• Fluency in English (written and spoken)
• Strong problem-solving, leadership, and communication skills

Preferred Qualifications

• Experience with Data Governance and Data Catalog solutions (e.g., Unity Catalog, Open Metadata)
• MLOps expertise
• Knowledge of AI/Generative AI frameworks (Vertex AI, AWS Bedrock, AI Foundry, Mosaic AI)
• Experience with Data Streaming and Event-Driven Architectures (e.g., Kafka, PubSub)
• Knowledge of batch and streaming processing (e.g., Apache Beam)
• Integration with Data Analytics tools (Power BI, Tableau, Looker)
• Cloud Provider or Data technology certifications
• Proficiency in other programming languages (NodeJS, GO, C#)