Data Architect

4 weeks ago

hyderabad, India Tech Mahindra Full time
Mandatory:
- Hands-on in data modelling tools (any tool)
- Responsible for creating models, conception -> logic
- Aware of Azure data architecture (raw, sanitised, created layers)
- Understand 3NF, dimensional modelling and data vault
Responsibilities
Work with the Head of Data Architecture and key business stakeholders to establish a vision for how X will manage its Enterprise Data Architecture and data models with an initial focus on strategic priorities of X.
Support from data architecture perspective in the co-creation or update of the Business Architecture with business owners and functional leads covering the organisation, functions, process framework, personas, and data.
Understand the Business and Data Strategy for a function and collaborate with the Business and data owners across the functions to define the Enterprise Data models, which defines how the business sees information.
Collaborate with Business Leads, Business Owners, Innovation Leads, Product Managers, Data Scientists to evaluate the data needs for any new idea or data product and provide recommendations on right source to meet the data needs.
Responsible for developing the enterprise data model, comprised of a subject area model (SAM), enterprise conceptual data model (ECDM), enterprise logical data model (ELDM) and physical data models (PDM).
Align data flows to business capabilities and processes, highlighting potential improvements and benefits/value creation.
Collaborate with Platform Architects, Tech Solution Architects and Enterprise Architects to ensure the enterprise view of data is represented accurately with an application or solution scope and participate in architecture forums and review boards.
Support the definition and design governance of foundational data layer and curated data assets.
Actively contribute to the roadmap which will deliver on the vision to create and embed meta data management and data modelling capabilities as foundational pillars for data governance.
Establish strong relationships with key leaders, business partners and functions with the goal of fostering a collaborative approach to developing, managing, and sustaining good data management practices and operations.
Be a strong and active member of a dynamic growing team; influence team culture and help build a positive environment on this exciting journey.

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