Data Architect
Data Architect
Posted on :
26-08-2025
Employer Active
1 Vacancy
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Job Description
About the Role
We are looking for an experienced Data Architect to lead the design and implementation of scalable secure and high-performance data solutions. The ideal candidate will have a strong background in data architecture cloud platforms and modern data frameworks with the ability to guide clients and teams in building next-generation data platforms.
Key Responsibilities
- Lead end-to-end design and architecture of enterprise-scale data solutions across cloud and hybrid environments.
- Define and implement data strategies governance and architecture best practices aligned to business needs.
- Architect and optimize data pipelines ETL/ELT frameworks and real-time data processing solutions.
- Provide technical leadership for building data lakes warehouses and advanced analytics platforms.
- Collaborate with business stakeholders product owners and engineering teams to translate requirements into scalable solutions.
- Evaluate and recommend tools frameworks and cloud-native services for data integration storage and consumption.
- Ensure data security compliance and governance practices are embedded in all solutions.
- Mentor teams on modern data architecture patterns including data mesh and domain-driven data ownership.
- Act as a trusted client advisor by presenting solution designs conducting workshops and driving architecture discussions.
Requirements
Required Skills & Experience
- 15 22 years of IT experience with a minimum of 5 years in data architecture roles.
- Strong expertise in data processing frameworks and ETL/ELT pipeline development.
- Proven experience in architecting and deploying solutions on AWS and Azure cloud platforms.
- Hands-on expertise in data integration real-time streaming and API-based data access.
- Proficiency in data modelling (structured semi-structured and unstructured).
- Deep understanding of data lakes data warehouses and modern data architecture patterns (data mesh lakehouse etc.).
- Experience with tools such as Apache Airflow AWS Glue Databricks Azure Synapse Redshift or equivalent.
- Knowledge of data security compliance and governance in large-scale enterprise environments.
- Excellent leadership stakeholder management and communication skills with experience in client-facing roles.
Good to Have
- Exposure to AI/ML data pipelines and advanced analytics platforms.
- Experience in multi-cloud environments and hybrid data architectures.
- Knowledge of emerging trends in data observability data fabric and metadata management.
Benefits
Standard Company Benefits
Why Join Us
- Opportunity to work on cutting-edge enterprise data transformation programs.
- Collaborate with global clients across diverse industries.
- Be a thought leader and drive innovation in modern data architecture.
AWS, data modelling, data ware house, data mesh
Education
Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related field.
Employment Type
Full Time
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