Senior Data Architect Lead
4 days ago
About the Role:
We are seeking a highly skilled Data Architecture Leader to join our team. As a key member of our consulting team, you will play a crucial role in helping clients re-invent their corporate finance function by leveraging advanced analytics.
You will work closely with senior stakeholders of the clients, designing and implementing data strategy in finance space, including multiple use cases such as controllership, FP&A and GPO.
Key Responsibilities:
- Design and drive end-to-end data and analytics solution architecture from concept to delivery.
- Develop and support conceptual/logical/physical data models for analytics solutions.
- Evaluate industry-accepted data architecture principles, standards, guidelines, and concepts to ensure integration with allied disciplines.
- 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 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 leadership.
- Collaborate with founders to drive technology strategy for the organisation.
- Support technology team recruitments in various areas of data analytics.
Requirements:
- Demonstrated experience delivering multiple data solutions.
- Experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies.
- In-depth skills with SQL Server, Azure Synapse, Azure Databricks, HDInsights, Azure Data Lake with ability to configure and administrate all aspects of SQL Server.
- Experience with different data models like normalized, 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.
- Understanding of operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
- Advanced study/knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies (Microsoft development lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI).
- Familiarity with principles and practices involved in development and maintenance of software solutions and architectures and in-service delivery (Microsoft and Azure DevOps. Azure Automation).
- Strong technical background and remains evergreen with technology and industry development.
What We Offer:
A dynamic work environment with opportunities for professional growth and development.
A collaborative team culture with a focus on innovation and excellence.
The chance to work on high-profile projects with leading clients in the finance industry.
A competitive salary and benefits package.
Opportunities for career advancement and professional development.
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