Sr Data Architect

Responsibilities

• Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
• Designs the structure and layout of data systems, including databases, warehouses, and lakes
• Selects and designs database management systems that meet the organizations needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures
• Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms
• Designs processes for the ETL process from various sources into the organizations data systems
• Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards
• Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps
• Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
• Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums
• Defines and manages standards, guidelines, and processes to ensure data quality
• Works with IT teams, business analysts, and data analytics teams to understand data consumers needs and develop solutions
• Evaluates and recommends emerging technologies for data management, storage, and analytics
• Design, create, and implement logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets
• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing / quality solutions
• Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models
• Create entity-relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models
• Collaborate with database administrators and software engineers to implement and maintain data models in databases, data warehouses, and data lakes
• Develop data modeling best practices, and use these standards to identify and resolve data modeling issues and conflicts
• Conduct performance tuning and optimization of data models for efficient data access and retrieval
• Incorporate core data management competencies, including data governance, data security and data quality

Job Requirements

Education :

Experience :

Skills :

Skills Required

Java, Data Modeling, Cloud Services, C C++, Data Architecture, Sql, Python, Business Analytics, Big Data Technologies