Data Architect - Manila
Reed Elsevier Manila Full-time
We’re seeking a Data Architect to help design and implement a scalable, flexible data architecture that connects siloed systems and supports enterprise-wide analytics, reporting, and AI initiatives. This role blends high-level architectural thinking with hands-on engineering work, enabling clean, secure, and accessible data across divisions.
You’ll be instrumental in shaping the standards, systems, and practices that will support our evolving data needs
Responsibilities- Design and implement enterprise-wide data architecture frameworks that support cross-division data integration and usability.
- Develop scalable data pipelines and workflows (ETL/ELT) to support analytics, reporting, and machine learning workloads.
- Collaborate with stakeholders across business units to identify data requirements and consolidate sources.
- Lead efforts in data modeling, documentation, and establishing common data definitions and practices.
- Define and implement data governance, data quality, and security frameworks aligned with compliance requirements.
- Evaluate and recommend modern data technologies to support ongoing evolution of data infrastructure.
- Partner with data engineers, analysts, and scientists to ensure data availability and usability.
- Contribute to team growth by mentoring junior team members and promoting best practices in data engineering and architecture.
- Bachelor’s degree in computer science, Information Systems, or a related field.
- Proven experience as a Data Architect, Senior Data Engineer, or in a similar data-focused role.
- Strong knowledge of database management systems, both SQL (e.g., Azure SQL, PostgreSQL) and NoSQL (e.g., Cosmos DB, MongoDB).
- Proficiency in data modeling, data warehousing, and ETL/ELT pipelines using tools such as Apache Airflow, or Azure Data Factory.
- Experience with big data technologies such as Apache Spark, Databricks, or similar.
- Familiarity with cloud data platforms, preferably Microsoft Azure
- Strong understanding of data governance, data quality, and data security practices.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Understanding of CI/CD pipelines and DevOps practices for data workflows.
- Knowledge of data privacy regulations such as GDPR, CCPA, or similar compliance frameworks.
- Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Azure ML).
- Knowledge of data visualization tools (e.g., Power BI, Tableau, Looker) and how to support reporting layers.
- Exposure to real-time data processing and streaming technologies (e.g., Kafka, Azure Event Hubs, Stream Analytics).
- Hands-on experience with Python, PySpark, or similar scripting languages for data transformation.
Reed ElsevierQuezon City, 10 km from Manila
We’re seeking a Data Architect to help design and implement a scalable, flexible data architecture that connects siloed systems and supports enterprise-wide analytics, reporting, and AI initiatives. This role blends high-level architectural thinking...
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