Description

You will architect and govern the enterprise data landscape, defining strategy for large-volume projects across hybrid environments.

This role is on-site.

Responsibilities

• Define and implement Data & Analytics architecture for on-prem and cloud initiatives.
• Evaluate Data Engineering tools and techniques to determine impact on strategic objectives.
• Manage overall implementation of data architecture initiatives and align them with business processes.
• Design, validate, and execute projects across hybrid infrastructure.

Required Skills

• 14+ years of IT experience, including 12+ years in Data Engineering, Data Modeling, DW, MDM, RDM, Data Lineage, and Governance.
• 10+ years defining Data & Analytics architecture for large-volume projects, preferably on AWS.
• Expertise in setting up Data Lakes and analytical environments.
• Experience with Python, PySpark, Kafka, APIs, Talend, and BODS.
• Proficiency with relational SQL and NoSQL databases.
• Experience building data pipelines, ingestion, integration, and traditional Data Warehouses/DataMarts.
• Strong data modeling skills using tools like Erwin or ER Studio.
• Experience with message queuing, stream processing, and scalable big data stores.

Key Skills

Education

Any Graduate