Data Architect

Job title : Data Architect

Remote

Job Summary : We are seeking a Data Architect to establish and develop a Data Architecture within the Enterprise Data Management (EDM) team. Reporting to the EDM Leader, You will develop standards and guidelines along with a Data Architecture framework that delivers on data principles while removing bureaucracy., you and your team will develop architectural artifacts from reference architecture to logical data designs, collaborating with technical and business SMEs across the enterprise. This role involves close collaboration with senior leaders of various business domains and technical architects across EDM and Ops / IT.

Key Responsibilities :

• Define the data architecture framework and standards.
• Design reference architecture and functional design of Enterprise Data Management solutions, including broader Enterprise solutions.
• Develop key architecture artifacts such as conceptual / logical data models, data flow diagrams, etc.
• Gain a deep understanding of various supported business areas to ensure solutions fit business needs through collaboration with senior leaders, business SMEs, and technical team members.
• Provide appropriate governance to data design processes.
• Work throughout the entire Development Lifecycle, translating business requirements and consulting with development and testing teams to ensure the intended design is met.
• Perform other duties as assigned.

Qualifications :

Preferred Skills :

Insights from Business to source right profile

We are looking for Data Architects with On Prem data modelling experience specially for Enterprise Data Warehouse and Operational Data Store , in any tool of their choice and overall on prem data architecture experience like designing a data pipeline from the scratch that includes Data Integration / Data Validations / Master Data Management / Data Quality and Data Governance.

They need not know what MDM policies to create , however should be well versed at which point in a data pipeline MDM should be applied, challenges in MDM, why do we need MDM etc.

And similarly for Data Quality and Data Governance.