
Data Architecture Specialist
1 week ago
Job Description
This is a key member of our consulting team who will help clients re-invent their corporate finance function by leveraging advanced analytics. The successful candidate will work closely with senior stakeholders to design and implement data strategy in the finance space, including multiple use cases such as controllership, FP&A, and GPO.
The Data Architecture Specialist will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies. They will also collaborate with Business Consultants and Product Owners to design and implement technical solutions. Effective communication and organisation skills are essential for this position.
Responsibilities
- Design and drive end-to-end data and analytics solution architecture from concept to delivery
- Design, develop, and support conceptual/logical/physical data models for analytics solutions
- Evaluate and ensure that 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
- Review the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology
- Advise on new technology trends and possible adoption to maintain competitive advantage
- Participate in pre-sales activities and publish thought leaderships
- Work closely with the founders to drive the technology strategy for the organization
- Help and lead technology team recruitments in various areas of data analytics
Required Skills and Qualifications
The ideal candidate should have demonstrated experience delivering multiple data solutions and ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies.
They should also have demonstrated in-depth skills with SQL Server, Azure Synapse, Azure Databricks, HDInsights, Azure Data Lake with the ability to configure and administer all aspects of SQL Server.
A deep understanding of operational dependencies of applications, networks, systems, security and policy (both on-premise and in the cloud) is required.
The candidate should have an advanced study/knowledge in the field of computer science or software engineering along with advanced knowledge of software development methodologies.
Benefits
We offer a fast-paced and dynamic working environment where you can grow professionally and personally.
We are committed to helping our employees succeed in their careers and offer opportunities for professional growth and development.
Others
We are looking for a highly motivated and experienced individual who can join our team and contribute to our mission.
If you are passionate about data architecture and have the required skills and qualifications, please apply for this exciting opportunity.
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