onsite
Data Architect - Ascendion
Software Engineer
Design and implement scalable data architectures, leading data modeling, integration, and warehousing initiatives using SQL, Python, ETL processes, and cloud platforms to enable AI‑driven solutions.
About the role
Key Responsibilities
- Define and evolve enterprise‑wide data architecture strategies aligned with AI and analytics roadmaps.
- Design logical and physical data models, ensuring consistency, scalability, and performance across relational and NoSQL stores.
- Lead the development and optimization of ETL pipelines, data ingestion, and transformation workflows.
- Collaborate with engineering, data science, and product teams to integrate data solutions into AI‑enabled applications.
- Establish data governance, security, and quality standards, and mentor junior data engineers.
Requirements
- 5+ years of experience designing and implementing data architectures for large‑scale enterprise environments.
- Strong proficiency in SQL and data modeling tools (e.g., ER/Studio, PowerDesigner).
- Hands‑on experience with ETL frameworks and scripting in Python.
- Deep knowledge of cloud data services (AWS, Azure, or GCP) and modern data warehousing solutions.
- Excellent problem‑solving skills and ability to translate business needs into technical data solutions.