Description
Hewlett Packard Enterprise is seeking a highly skilled Data Architect to join their team. As a Data Architect, you will be responsible for designing, implementing, and managing enterprise-scale data architectures.
Key Responsibilities:
- Define and maintain the organisation's enterprise data architecture blueprint.
- Develop strategies for data integration, storage, retrieval, and governance.
- Ensure data architecture aligns with business goals and analytics needs.
- Design and optimise relational and non-relational database schemas for performance, scalability, and maintainability.
- Implement indexing, partitioning, and query optimisation techniques.
- Oversee data pipelines, ETL/ELT processes, and data transformation workflows.
- Integrate structured, semi-structured, and unstructured data from multiple sources.
- Support real-time and batch processing solutions.
- Implement data governance frameworks to ensure data quality, consistency, and accuracy.
- Define and enforce data security policies, access controls, and encryption standards.
- Partner with analytics, BI, application, and infrastructure teams to deliver data solutions.
- Mentor data engineers, modelers, and database administrators.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Management, or related field.
- 10+ years in data architecture, database design, and data engineering.
- Strong knowledge of PostgreSQL, ClickHouse, and Cassandra.
- Proficiency in RDBMS (Oracle, SQL Server, MySQL) and NoSQL databases (MongoDB, Redis).
- Strong knowledge of data modeling tools (ERwin, PowerDesigner, etc.).
- Expertise in big data platforms (Hadoop, Spark) and cloud data services (AWS Redshift, Azure Synapse, Google BigQuery).
- Experience with ETL tools (Informatica, Talend, AWS Glue) and streaming technologies (Kafka, Kinesis).
Benefits:
- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Investment in career development and growth.
- Unconditionally inclusive work environment.