Data Architect

Job Title -

Designation -

Reports To -

Job Purpose

Data Architect will be responsible for defining strategy and executing Enterprise Business Intelligence and Digital Business Intelligence Solutions by working with various stakeholders across Business and the IT functions.

In addition, the role will have ownership of enterprise wide business intelligence application development, support, and enhancement with the current and future platforms. This person will work with vendor partner teams to implement and provide support to the business teams.

Key Responsibilities:

• Define strategic Data Information Architecture and Data Management practices
• Define and put in place Data Modeling, Data Flow, Data Governance, Data Quality frameworks
• Define reference data architecture, master data management strategy, domain data architectures, data pipeline architectures, platform roadmaps etc.
• Should have experience of managing architecture and system design/development issues and opportunities in a collaborative, flexible and results driven
• Advocate for data-driven decisions, strong data governance, and other initiatives
• Data integration with multiple systems and downstream data processing
• Partner with senior management to understand and deliver performance insights and key analytics solutions
• Understand Key Performance Measures and Indicators that drive company measurement, reporting and analytics across functions
• Lead the collection of business requirement, translate those requirements into actionable initiatives with appropriate control
• Partner with multiple functional teams to establish and maintain daily service commitments
• Manage the daily support measured by system availability, performance and user support resolution
• Leverage external service providers to deliver solutions
• Executing Enterprise Business Intelligence and Digital Business Intelligence Solutions by working with the Business and the enabling / support function teams
• Understanding of defining Enterprise Information Model (Corporate Data Model) and project based data modeling (including DW modeling) from conceptual, to logical and through to implementation
• Capable of operating as a strategic contributor from data architecture perspective and should be able to manage technical consultants, external outsourcing relationships & third party vendors for varied projects.

Education:

BE Degree in Information Systems, Computer Science or related technical discipline or equal

Work Experience

Experience:

• 10-13 years of experience in Business Intelligence application development and support
• Hands-on experience on the data pipeline setup, data management, importing and cleansing data, preparing enterprise wide data catalog and data mining
• Worked on data analysis methodologies and modern data warehouse implementation to capture analytics and metrics.
• Experience on Implementation with large scale data sets, handling XML, JSON structures
• Strong program/project management skills from initiation to implementation in an enterprise
• Track record of implementing innovative solutions to address business challenges
• Strong exposure to Microsoft Azure and Google native Cloud services for Big data pipeline implementation, data processing, data transformation etc.
• Strong business analytical and communication skills
• Good influential skills and ability to operate in a fast paced global environment with urgency, ownership, and accountability
• Strong oral and written skills
• Strong knowledge of data warehouse concepts
• Knowledge of SAP
• Knowledge of Microsoft Business Intelligence stack
• Experience with Big data concepts a plus
• Exposure to ETL process, data visualization tools and statutory report development