Principal Data Architect

Key responsibilities:

• Architectural Vision: Design and maintain the end-to-end data architecture, including data lakes, warehouses, and real-time streaming platforms.
• Data Modeling : Establish enterprise-wide standards for conceptual, logical, and physical data models to ensure consistency across all business units.
• Integration Strategy: Define patterns for data ingestion, transformation (ETL/ ELT), and egress, ensuring high-performance connectivity between disparate systems.
• Governance & Security: Collaborate with security teams to implement robust data privacy controls, encryption, and access management policies.
• Technology Selection: Evaluate and select emerging technologies (Cloud providers, NoSQL/SQL databases, orchestration tools) that align with long-term business goals. Technical Mentorship: Lead architectural review boards and provide high-level guidance to senior data engineers and data scientists.

Required Qualifications:

• 10+ years of experience in data engineering, database administration, or data architecture. Enterprise Data Strategy & Infrastructure Leadership
• Proven track record of designing large-scale distributed systems on cloud platforms (AWS, Azure, or GCP).
• Expert-level proficiency in SQL and deep understanding of various database paradigms (Relational, Columnar, Document, Graph).
• Experience with modern data stack tools such as Snowflake, Databricks, dbt, Airflow, or Kafka.
• Strong understanding of Data Mesh or Data Fabric architectural patterns.
• Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.