Senior Enterprise Data Architect
3 weeks ago
Alliantgroup, a leading professional services firm, is seeking an experienced Senior Enterprise Data Architect to join our team in Hyderabad. In this role, you will be responsible for designing, implementing, and maintaining large-scale data architectures that drive business insights and decision-making.
About the Company
Alliantgroup is a professional services firm that provides tax consulting and compliance services to businesses in the United States. We have a strong presence in the US market and are expanding our operations globally, including in India. Our company culture values innovation, teamwork, and customer satisfaction, and we strive to create a work environment that is inclusive, diverse, and supportive of individual growth.
The Job Description
You will be working on complex enterprise projects, collaborating with cross-functional teams to design and implement data architectures that meet business needs. Your primary responsibilities will include:
- Designing and implementing large-scale data architectures using Microsoft SQL Server BI technology stack.
- Developing and maintaining ETL processes, data warehouses, and data marts to support business intelligence and analytics initiatives.
- Partnering with stakeholders to understand business requirements and translate them into technical solutions.
- Collaborating with data scientists, product managers, and web engineers to deliver high-quality project outcomes.
- 10+ years of experience as a Senior Enterprise Data Architect.
- Expert knowledge of Microsoft SQL Server BI solution implementation.
- Working knowledge of data design, dimensional data modeling, and data integration.
- Experience working on cloud-based projects, preferably Azure.
- Strong expertise in data warehousing and data modeling schema development.
- Ability to model and architect data and write efficient SQL queries.
- 1+ year of experience working with Azure Synapse (formerly Azure DW) in a production environment.
- 2+ years of experience building pipelines/ETL using Azure Data Factory in a production environment.
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