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 modelling  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.