🛠 Tech Stack

💼 About This Role

You'll lead client-facing consulting engagements to define enterprise-wide data architecture and guide delivery of modern data platforms. You will shape strategy, create roadmaps, and govern execution from proposal through implementation.

🎯 What You'll Do

• Define enterprise data architecture principles and target-state blueprints.
• Lead client discovery and architecture workshops.
• Architect cloud/hybrid data solutions including data lakes and streaming.
• Establish data modeling standards and metadata strategy.
• Drive data governance, quality, and security-by-design.

📋 Requirements

• 10–12+ years of experience in data engineering or data architecture.
• Proven experience designing enterprise-scale data platforms on cloud.
• Strong foundation in data modeling and distributed processing.
• Working knowledge of AI-enabled engineering practices or MLOps.

✨ Nice to Have

• Experience with domain-driven data architecture or data mesh.
• Experience enabling AI/ML platforms and GenAI/LLM patterns.
• Experience institutionalizing AI-assisted delivery for data engineering.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Interview· 60 min