Principal Data Architect

Job Summary

We are seeking a Principal Data Architect to lead the design and implementation of enterprise-scale cloud data and AI platforms. The role will drive data architecture, lakehouse platforms, AI/ML solutions, data governance, and technical strategy across complex enterprise environments.

Key Responsibilities

• Design enterprise data & AI architecture and cloud data platforms.
• Lead Databricks Lakehouse, Delta Lake, DLT, and Unity Catalog implementations.
• Develop scalable ETL/ELT, data engineering, and data modeling solutions.
• Design AI/ML, GenAI, and MLOps platforms and production solutions.
• Implement data governance, quality, security, lineage, and access controls.
• Lead cloud platforms across Azure and AWS.
• Design real-time data solutions using Kafka, Azure Event Hub, and Spark Streaming.
• Drive CI/CD, DevOps, and cloud cost optimization for data platforms.
• Provide technical leadership and mentoring to data engineers, ML engineers, and data scientists.
• Engage stakeholders to define technology roadmaps, solution architecture, and delivery plans.

Requirements

15+ years experience in data architecture, data engineering, or enterprise architecture.

Strong experience with Databricks, Azure/AWS, PySpark, Python, and SQL.

Expertise in Lakehouse, Data Warehousing, ETL/ELT, and Data Modelling.

Experience with AI/ML, GenAI, LLM, MLOps, and MLflow.

Strong knowledge of data governance, data quality, security, and privacy.

Experience with Kafka/Azure Event Hub, CI/CD, and DevOps.

Strong technical leadership and stakeholder management skills.

Preferred: Databricks certifications, DAMA-DMBOK, PMP, Power BI/Tableau/Qlik experience.