
Senior Enterprise Data Architect Position
5 days ago
About This Role
- We seek a highly skilled Data Architect to lead the design and implementation of our data ecosystem.
- The ideal candidate will have expertise in SQL, Python, or Scala for data processing and transformations.
Key Responsibilities
- Design scalable and secure enterprise data architecture, including data lakes, warehouses, and real-time streaming solutions.
- Develop, optimize, and maintain data pipelines (ETL/ELT) for structured and unstructured data across multiple systems.
- Create and maintain conceptual, logical, and physical data models to ensure consistency, reuse, and governance.
- Optimize database performance (SQL/NoSQL) and implement partitioning, indexing, and query tuning strategies.
Leadership & Strategic
- Serve as the data architecture authority, defining standards, frameworks, and best practices.
- Lead and mentor Data Engineers, BI Developers, and Analysts in architecture principles and implementation.
- Strong expertise in data modeling (3NF, dimensional, star/snowflake schemas, data vault).
- Familiarity with DevOps for data (CI/CD pipelines, Infrastructure as Code, Terraform, Git).
- Knowledge of big data frameworks (Hadoop ecosystem, Spark).
- Understanding of data security, governance, and compliance frameworks.
- Bachelor's/Master's degree in Computer Science, Data Engineering, or related field.
- 8+ years of experience in data engineering/architecture roles with at least 3+ years as a Data Architect.
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