Description

Job Responsibilities include:

Define and implement enterprise BI, analytics, and data architecture strategies aligned with business and data governance objectives.

Design and optimize scalable data pipelines, ETL/ELT frameworks, semantic models, and reporting solutions using Azure, Databricks, Snowflake, and Power BI.

Lead Power BI architecture, governance, security, performance tuning, and self-service analytics initiatives across the organization.

Develop and maintain cloud-native data platforms, including Data Lake, Lakehouse, and Medallion Architecture solutions, ensuring data quality, reliability, and scalability.

Collaborate with business stakeholders, architects, and engineering teams to deliver KPI-driven dashboards, analytics solutions, and enterprise reporting capabilities.

Drive DataOps, DevOps, CI/CD automation, Infrastructure-as-Code (Terraform), and platform modernization efforts while mentoring development teams and promoting best practices.

Required Qualifications:

Bachelor’s degree in computer science, Information Systems, Data Engineering, Analytics, or a related technical field.

8+ years of experience in Business Intelligence, Data Engineering, Data Architecture, or Analytics solutions.

Strong hands-on expertise with Azure, Databricks, Snowflake, Power BI, SQL, and enterprise data warehousing/analytics architectures.

Proven experience designing scalable cloud-based data platforms, implementing DataOps/DevOps practices, and leading BI reporting and analytics modernization initiatives

Key Skills

Education

Any Graduate