
Data Architectural Specialist
1 day ago
**Job Title:** Senior Data Architect
**Job Description:
We are seeking an experienced Senior Data Architect to join our team. As a key member of the consulting team, you will help clients re-invent their corporate finance function by leveraging advanced analytics.
You will work closely with senior stakeholders to design and implement data strategies in the finance space, covering multiple use cases such as controllership, FP&A, and GPO. Your technical expertise will be instrumental in developing scalable analytical solutions using cloud and big data technologies.
**Responsibilities:
• Design and drive end-to-end data and analytics solution architecture from concept to delivery
• Develop, design, and support conceptual/logical/physical data models for analytics solutions
• Ensure industry-accepted data architecture principles, standards, guidelines, and concepts are integrated with those of allied disciplines and coordinated roll-out and adoption strategies are in place
• Drive the design, sizing, setup, etc. of Azure environments and related services
• Provide mentoring on data architecture design and requirements to development and business teams
• Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources, and integration of multiple systems and technology
• Advising on new technology trends and possible adoption to maintain competitive advantage
• Participate in pre-sales activities and publish thought leaderships
• Work closely with founders to drive technology strategy for the organisation
• Help and lead technology team recruitments in various areas of data analytics
**Required Skills and Qualifications:
• Demonstrated experience delivering multiple data solutions
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies
• Demonstrated in-depth skills with SQL Server, Azure Synapse, Azure Databricks, HDInsights, Azure Data Lake with the ability to configure and administrate all aspects of SQL Server
• Demonstrated experience with different data models like normalised, de-normalized, stars, and snowflake models
• Worked with transactional, temporal, time series, and structured and unstructured data
• Data Quality Management (Microsoft DQS and other data quality and governance tools) and Data Architecture standardization experience
• Deep understanding of operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud)
• Advanced study/knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies
• Familiar with principles and practices involved in development and maintenance of software solutions and architectures and in-service delivery
• Has strong technical background and remains evergreen with technology and industry development
**Benefits:
• Opportunity to work with cutting-edge technologies and innovative projects
• Collaborative and dynamic work environment
• Professional growth and development opportunities
• Competitive salary and benefits package
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