Required Qualifications :

- 12+ years of overall IT experience, with a minimum of 2+ years in a Data / Analytics Architect role.

- Proven track record of designing and delivering data architectures and analytics solutions across on-premise and cloud environments.

- Hands-on expertise across the entire data management lifecycle, from data ingestion to consumption.

- Strong exposure to the end-to-end Data & BI lifecycle, including :

- Data ingestion and integration

- ETL / ELT design and optimization

- Data modeling and warehousing

- Advanced analytics and reporting

- Data visualization and insights delivery

Technical Expertise :

Deep expertise in :

- Data Management data governance, data quality, metadata, lineage, and compliance

- Data Orchestration workflow automation, pipeline scheduling, monitoring, and optimization

- Data Visualization strong hands-on experience with Power BI and other leading BI tools

- Proven experience delivering large-scale data and analytics programs using :

a. Microsoft Fabric

b. Databricks

c, Azure Data Engineering stack (ADF, Synapse, ADLS, etc.)

Good to Have :

- Familiarity with Snowflake, Oracle Fusion Data Intelligence (FDI), and Oracle OCI.

- Exposure to Data Science, AI, and ML engineering concepts and implementations.

Leadership & Stakeholder Skills :

- Strong technical leadership with the ability to guide teams and influence architectural decisions.

- Excellent client engagement and stakeholder management skills, with experience translating business needs into scalable data solutions.

- Ability to operate effectively in complex, enterprise, and multi-stakeholder environments.