Principal Data Architect
Skills
About This Role
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.
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