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We are seeking a Data Architect to lead the design and evolution of data architecture. This individual will play a critical role in shaping how data is collected, stored, integrated, and consumed across the organization, supporting analytics, and reporting. The ideal candidate brings a balance of hands‑on technical depth, architectural leadership, and strong collaboration with business and technology stakeholders
Job Responsibility:
Lead the design and implementation of scalable, secure, and high‑performing enterprise data architectures
Define data architecture standards, reference architectures, and best practices across platforms
Architect data solutions supporting analytics, BI, data science, and operational reporting
Design and oversee data models for data warehouses, data lakes, and lakehouse architectures
Partner with application, infrastructure, security, and analytics teams to ensure seamless data integration
Evaluate and recommend data technologies, tools, and platforms aligned to business strategy
Establish and enforce governance, data quality, metadata management, and lineage practices
Provide technical leadership and mentorship to data engineers and analytics teams
Translate business requirements into actionable data solutions for senior stakeholders
Requirements:
Strong experience designing enterprise data warehouses and modern data platforms
Deep knowledge of relational and dimensional data modeling techniques
Hands‑on experience with cloud data platforms (AWS, Azure, or GCP)
Proficiency with SQL and familiarity with ETL/ELT frameworks and orchestration tools
Experience integrating data from multiple source systems, including transactional and third‑party data
Strong understanding of data security, governance, privacy, and regulatory considerations