Description : Principal / Enterprise Data Architect.

Experience : 13 - 18 years.

Role Overview :

We are looking for a senior Data Architect to define and lead enterprise data strategy across data engineering, data quality, governance, security, and AI enablement.

This role will shape scalable, secure, and AI-ready data platforms that power analytics and business decision-making.

Key Responsibilities :

- Define enterprise data architecture and roadmap aligned to analytics and AI goals.

- Design scalable lakehouse / data platform architectures (batch & streaming).

- Establish data quality, observability, and reliability frameworks.

- Lead data governance, metadata, lineage, and ownership models.

- Architect data security and privacy (access control, encryption, compliance).

- Enable AI/ML & GenAI use cases with high-quality, governed data foundations.

- Act as architectural advisor to senior stakeholders and mentor teams.

Required Experience & Skills :

- 1318 years in data architecture, data engineering, and analytics platforms.

- Strong experience with cloud data platforms (AWS / Azure / GCP).

- Deep understanding of data engineering, governance, quality, and security.

- Experience enabling AI/ML-ready data architectures.

- Strong stakeholder communication and leadership skills.

Nice to Have :

- Enterprise or digital transformation experience.

- Data Mesh / Lakehouse exposure.

- AI / GenAI data patterns experience.

- Cloud or data architecture certifications.