Senior Data Engineer supporting critical banking insights at Smile. Driving data solutions and reporting in a collaborative environment across Brussels' financial sector.
About the role
- Senior Data Architect defining comprehensive data strategy and architecture for AI. Delivering organization’s data vision and ensuring governance and technical oversight of enterprise data architecture.
Responsibilities
- Design, maintain, and evolve comprehensive data models (Conceptual, Logical, and Physical) for core business services and platforms.
- Define and create data flow diagrams and orchestration strategies, ensuring efficient and governed data movement between up- and downstream systems.
- Collaborate closely with Application and Cloud Architects to ensure the organization’s technical systems are designed to fully support the established data architecture standards.
- Evolve and define data governance policies, standards, and best practices across the organization.
- Design, support, and manage data dictionaries, metadata repositories, and common entities to ensure consistent use and definition of data.
- Drive the standards for Data Quality across multiple datasets, ensuring consistency and data trust across the enterprise.
- Provide technical oversight, advice, and guidance to other Data Architects, Data Engineers, and development teams regarding data structures and associated components.
- Ensure project teams adhere to the corporate data standards and architectural principles set by data leadership.
- Mentor and support colleagues in multi-disciplinary teams, promoting best practices in data architecture and design.
Requirements
- Advanced experience in designing and implementing data models (Star Schema, Snowflake, etc.)
- Expertise in a wide variety of database technologies, including relational (SQL) and NoSQL platforms, and Big Data technologies.
- Demonstrated ability to architect scalable, high-performance data warehousing and data lake solutions on major cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of ETL/ELT tools, data integration strategies, and advanced data processing techniques.
- Excellent verbal and written communication skills with the ability to translate complex technical information and language into simple, accessible terms for non-technical stakeholders.
- Strong leadership skills with the proven ability to establish relationships, manage differing stakeholder perspectives, and drive technical direction across teams.
- A systematic, disciplined, and analytical approach to problem-solving, with an awareness of evolving business needs and technology capabilities.
Benefits
- Flexible work from home options
- Equal opportunity employer
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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