Description

Design and implement enterprise-scale data platforms and architectures across cloud environments. Own the end-to-end lifecycle from assessment to modernization.

Responsibilities

• Design enterprise data platforms including ETL pipelines, data modeling, visualization, and data governance.
• Lead data landscape assessments and portfolio rationalization to migrate applications to hyper-scale environments.
• Develop domain and application standards that align with enterprise strategic direction.
• Collaborate with business and technology stakeholders to define requirements and solution designs.
• Provide technical guidance to project teams and resolve complex business issues as a subject matter expert.

Required Skills

• 5+ years of experience as a Data Solution Architect or in a similar role.
• Hands-on experience building data architecture, data models, and pipelines using AWS (S3, Lambda, Glue, Athena, QuickSight), Azure, or GCP.
• Deep expertise in Databricks and PySpark.
• Proficiency in data modeling and designing data consumption patterns like semantic layers and visualizations.
• Experience implementing Data Quality (DQ) and Data Governance (DG) requirements.
• Knowledge of Agile development and execution methodologies.
• Ability to integrate Data and AI solutions within an enterprise framework.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate