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.