We are seeking a seasoned and passionate Principal Architect (Enterprise Architect – Data Platform Engineering) in our Data Architecture & Engineering group to drive the architecture, development and implementation of our strategy spanning across Data Fabric, Data Management, and Data Analytics Platform stack.
Requirements
- 10+ years of experience in data architecture and engineering or related roles with hands-on experience building enterprise data platforms in a cloud environment (AWS, Azure, GCP).
- 5+ years of experience in leading enterprise scale data platforms and solutions
- Expert-level proficiency with Databricks and experience in optimizing data pipelines and workflows in Databricks environments.
- Deep understanding of distributed computing, data architecture, and performance optimization in cloud-based environments.
- Experience with Enterprise mindset / certifications like TOGAF etc. are a plus.
- Highly preferred to have Big Tech or Big Consulting experience.
- Solid knowledge of data security, governance, and compliance practices in cloud environments.
- Must have exceptional communication to engage and influence architects and leaders in the organization
- Good-to-Have Skills: Experience with Gen AI tools in databricks Experience with unstructured data architecture and pipelines Experience working with agile development methodologies such as Scaled Agile.
- Professional Certifications AWS Certified Data Engineer preferred Databricks Certificate preferred
