
Data Warehouse Architect
6 days ago
Experience: 10-18 years
NP: Immediate joiners are preferred or candidates serving NP can join within 20 days
Key Responsibilities:
- Design and architect end-to-end data warehouse solutions using modern data platforms
- Define data models (star/snowflake schema), data marts, and OLAP structures
- Create and manage ETL/ELT pipelines to ingest data from various sources (structured, semi-structured)
- Collaborate with business and data teams to translate requirements into scalable data architecture
- Ensure data quality, governance, security, and compliance standards are met
- Optimize data storage and query performance for analytical workloads
- Develop data strategy and roadmap aligned with business objectives
- Guide and mentor data engineering teams on best practices
Required Skills and Experience:
- Strong experience with data warehousing concepts, architecture, and best practices
- Expertise in dimensional modeling, data lakes, and data marts
- Hands-on experience with one or more cloud platforms
- Proficiency with ETL/ELT tools
- Excellent SQL and performance tuning skills
- Familiarity with DevOps, CI/CD for data pipelines, and version control (Git)
- Strong understanding of data governance, cataloging, and security
- Experience with BI tools (Power BI, Tableau, etc.) is a plus
Required skills:
Tools & Technologies Cloud Platform : Azure (Data Bricks, DevOps, Data factory, azure synapse Analytics, Azure SQL, blob storage, Databricks Delta Lake)
Languages : Python/PL/SQL/SQL/C/C++/Java
Databases : Snowflake/ MS SQL Server/Oracle
Design Tools : Erwin & MS Visio.
Data warehouse tools : SSIS, SSRS, SSAS. Power Bi, DBT, Talend Stitch, PowerApps, Informatica 9, Cognos 8, OBIEE.
Any cloud exp is good to have.
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