CLOUD AMAZE - Sr. DW Architect (Practice)

Hexaware Technologies; Belgique; Sur place; EUR 100 000 - 140 000; Plein temps

Résumé du poste

Hexaware Technologies in Belgium seeks a Senior Data Warehouse Architect (Cloud) to design and implement enterprise data models, data warehouses, and data lakes, while defining scalable data architecture standards.

You will optimize pipelines, ensure data security and governance, and collaborate with business and technical teams to translate requirements into modern analytics solutions across Azure, AWS, or GCP.

Qualifications

• Design and implement enterprise data models, data warehouses, and data lakes.
• Define data architecture standards, governance, and best practices.
• Collaborate with business and technical teams to understand data requirements.
• Optimize data pipelines, storage, and processing frameworks.
• Ensure data security, compliance, and data quality across platforms.

Responsabilités

• Design and implement enterprise data models, data warehouses, and data lakes.
• Define data architecture standards, governance, and best practices.
• Collaborate with business and technical teams to understand data requirements.
• Optimize data pipelines, storage, and processing frameworks.
• Ensure data security, compliance, and data quality across platforms.

Connaissances

Data modeling

Database design

ETL/ELT

SQL

Data warehousing

Cloud platforms

Data governance

Data security

Stakeholder management

Problem solving

Outils

Azure

AWS

GCP

ETL Tools

Description du poste

CLOUD AMAZE - Sr. DW Architect (Practice)

Job Description

Key Responsibilities: Experience across AZure Cloud.Design and implement enterprise data models, data warehouses, and data lakes. Define data architecture standards, governance, and best practices. Collaborate with business and technical teams to understand data requirements. Optimize data pipelines, storage, and processing frameworks. Ensure data security, compliance, and data quality across platforms. Support cloud data solutions and modern analytics platforms. Required Skills: Strong expertise in data modeling, database design, and ETL/ELT processes. Experience with SQL, data warehousing, and cloud platforms (Azure, AWS, or GCP). Knowledge of data governance, metadata management, and data security. Familiarity with big data technologies and analytics ecosystems. Excellent stakeholder management and problem-solving skills