Description

You will design and implement end-to-end data architecture solutions across cloud and on-premise environments.

This role is remote.

Responsibilities

• Design and implement enterprise-level data architecture, including data lakes, data warehouses, and real-time data platforms.
• Develop conceptual, logical, and physical data models for both OLTP and OLAP workloads.
• Define data standards, modeling conventions, and best practices for the organization.
• Architect scalable and secure cloud-based data platforms using Azure, AWS, or GCP services.
• Lead the design of ETL/ELT frameworks and data pipelines, standardizing ingestion from various data sources.

Required Skills

• 8+ years of experience in data architecture.
• Expertise in OLTP and OLAP modeling.
• Hands-on experience with Azure, AWS, and GCP cloud environments.
• Proficiency with Data Lake architectures.
• Familiarity with Synapse, Databricks, and ADF.
• Experience designing and optimizing data ingestion and transformation pipelines.

Preferred Skills

• Any Graduate.

Key Skills

Education

Any Graduate