Senior Data Architect ID 2913
Senior Data Architect ID 2913
Posted on :
28-04-2025
Employer Active
1 Vacancy
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Jobs by Experience
10years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
28-04-2025
Job Description
As a Senior Data Architect you will:
- Develop and maintain a bankwide data architecture strategy ensuring alignment with business goals and objectives.
- Advocate for data lakehouse architecture principles and promote their adoption across the organization.
- Define and establish data management KPIs OKRs standards policies and procedures to maintain data quality consistency and security.
- Design and build conceptual logical and physical data models to support data integration warehousing and analytics initiatives.
- Collaborate with central data offices and business stakeholders to understand data requirements and translate them into scalable technical solutions.
- Author and maintain architectural documents such as HighLevel Designs (HLD) LowLevel Designs (LLD) Data Flow Diagrams (DFD) and strategy papers.
- Evaluate and recommend cuttingedge data management technologies and tools to enhance data capabilities.
- Simplify socialize and ensure compliance with data governance policies including regulatory and data privacy standards.
- Communicate complex data concepts clearly to nontechnical stakeholders across the organization.
- Monitor optimize and ensure the performance scalability and efficiency of the enterprisewide data architecture.
What You Bring to the Table:
- 10 years of solid experience in data architecture data governance and data management in large complex environments.
- Handson expertise with Microsoft Azure Databricks Enterprise Application Architecture and MySQL.
- Deep understanding and practical experience with data lakehouse concepts and architectures.
- Proficiency in creating and maintaining comprehensive technical documentation (HLD LLD DFD etc..
- Strong understanding of KPIs OKRs and data management frameworks to ensure operational excellence.
- Proven ability to stay updated with emerging trends and technologies in the field of data management.
- Excellent collaboration skills to work across central and domain teams IT business units and external partners.
- Outstanding written and verbal communication skills to interact effectively with both technical and nontechnical audiences.
You should possess the ability to:
- Design and implement largescale enterprisegrade data architectures aligned with business strategies.
- Simplify complex technical strategies for nontechnical stakeholders.
- Manage multiple priorities work independently and drive initiatives to completion.
- Advocate for best practices in data governance security and privacy compliance.
- Influence crossfunctional teams to adopt a unified data strategy and standards.
What We Bring to the Table:
- An exciting opportunity to work on strategic data architecture initiatives in a multicultural and dynamic environment located in Amsterdam Netherlands.
- Exposure to the latest technologies like Azure and Databricks in a large enterprise setup.
- A collaborative work culture focused on innovation simplification and continuous learning.
- The opportunity to lead transformative data initiatives that have a widereaching impact on the organization.
As a Senior Data Architect, you will: Develop and maintain a bank-wide data architecture strategy, ensuring alignment with business goals and objectives. Advocate for data lakehouse architecture principles and promote their adoption across the organization. Define and establish data management KPIs, OKRs, standards, policies, and procedures to maintain data quality, consistency, and security. Design and build conceptual, logical, and physical data models to support data integration, warehousing, and analytics initiatives. Collaborate with central data offices and business stakeholders to understand data requirements and translate them into scalable technical solutions. Author and maintain architectural documents such as High-Level Designs (HLD), Low-Level Designs (LLD), Data Flow Diagrams (DFD), and strategy papers. Evaluate and recommend cutting-edge data management technologies and tools to enhance data capabilities. Simplify, socialize, and ensure compliance with data governance policies, including regulatory and data privacy standards. Communicate complex data concepts clearly to non-technical stakeholders across the organization. Monitor, optimize, and ensure the performance, scalability, and efficiency of the enterprise-wide data architecture. What You Bring to the Table: 10+ years of solid experience in data architecture, data governance, and data management in large, complex environments. Hands-on expertise with Microsoft Azure, Databricks, Enterprise Application Architecture, and MySQL. Deep understanding and practical experience with data lakehouse concepts and architectures. Proficiency in creating and maintaining comprehensive technical documentation (HLD, LLD, DFD, etc.. Strong understanding of KPIs, OKRs, and data management frameworks to ensure operational excellence. Proven ability to stay updated with emerging trends and technologies in the field of data management. Excellent collaboration skills to work across central and domain teams, IT, business units, and external partners. Outstanding written and verbal communication skills to interact effectively with both technical and non-technical audiences. You should possess the ability to: Design and implement large-scale, enterprise-grade data architectures aligned with business strategies. Simplify complex technical strategies for non-technical stakeholders. Manage multiple priorities, work independently, and drive initiatives to completion. Advocate for best practices in data governance, security, and privacy compliance. Influence cross-functional teams to adopt a unified data strategy and standards. What We Bring to the Table: An exciting opportunity to work on strategic data architecture initiatives in a multicultural and dynamic environment located in Amsterdam, Netherlands. Exposure to the latest technologies like Azure and Databricks in a large enterprise setup. A collaborative work culture focused on innovation, simplification, and continuous learning. The opportunity to lead transformative data initiatives that have a wide-reaching impact on the organization.
Employment Type
Full Time
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