Data Architech

About the role

We are looking for an experienced Data Architect to design, develop, and govern enterprise data architecture, ensuring scalable, secure, and efficient data solutions aligned with business objectives. The role will focus on data modeling, integration, governance, cloud platforms, and data strategy while collaborating with stakeholders and technical teams.

Key responsibilities

• Design and maintain enterprise data architecture, data models, and technology roadmaps.
• Develop logical and physical data models to support business and analytics requirements.
• Define data integration and ETL/ELT strategies across applications, APIs, and platforms.
• Establish data governance, quality, metadata, lineage, and master data management standards.
• Evaluate and recommend data warehousing, lakehouse, cloud data, and analytics technologies.
• Ensure compliance with enterprise architecture, data security, privacy, and regulatory standards.
• Assess architectural risks, scalability, performance, and system dependencies.
• Collaborate with business stakeholders, architects, data engineers, and developers.
• Lead architecture reviews, modernization initiatives, and technical decision-making.
• Provide technical guidance and mentorship to data engineering and analytics teams.

About you

• At least 5 years of experience in Data Architecture or a closely related field.
• Strong experience in enterprise data architecture and conceptual, logical, and physical data modeling.
• Knowledge of data warehousing, lakehouse architecture, and cloud data platforms.
• Experience with data integration, APIs, and ETL/ELT architecture.
• Familiarity with Master Data Management (MDM), data governance, data quality, and data lineage.
• Understanding of business intelligence, analytics, database optimization, and data security.
• Experience developing enterprise data strategies, architectural standards, and roadmaps.
• Strong stakeholder management, communication, analytical, and problem-solving skills.
• Ability to translate business requirements into scalable and secure data solutions.
• Experience in technical leadership, mentoring, and architecture governance is an advantage.