Description
This role will be responsible for developing company's cloud-based data platform environment and ensure its operations are optimized to performance and scalability standards.
The Data Architect will also provide technical leadership in data, analytics, and AI, collaborating with the Data, Analytics, and AI team, business stakeholders, and third-party partners to operate, manage, and develop Nadara's cloud computing and data platform across all areas of the business.
Key Responsabilites:
- Design, implement, and manage data platform architectures as a foundation for advanced analytics development.
- Monitor and optimize data platform performance, scalability, and cost.
- Overseeing day-to-day operations of the data platform, including incident management, disaster recovery planning, and system updates.
- Designing and managing data lifecycle management, including versioning, archiving and retention policies.
- Work with analytics teams to develop data models and AI / ML / analytics use cases.
- Create, extend, and manage enterprise data models that allow for consolidation of data from disparate domains, supporting analytical solutions.
Profile
Technical skills
- Experience with one or more of major cloud providers (AWS, Azure, GCP) and their data services (e.g., AWS S3, Azure Data Lake, GCP BigQuery).
- Proficiency in cloud-based data platforms like Databricks, Snowflake, or Azure Fabric (understanding Spark, Delta Lake, etc).
- Familiarity with both relational (e.g., SQL Server, PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
- Strong SQL skills; experience in Python or Scala for data engineering tasks; familiarity with version control systems.
- Understanding of enterprise data architecture patterns, including data lake, data warehouse, lakehouse, and cloud-native designs.
- Experience with Inmon, Data Vault 2.0, Kimball, and dimensional modelling.
- Knowledge of integration patterns, ETL/ELT processes, and tools (e.g., Apache Airflow, Azure Data Factory, Informatica, Talend) to orchestrate data workflows.
Job Offer