Description

Lead data architecture strategy and technical execution for enterprise-scale data and AI solutions.

Responsibilities

• Design enterprise data platforms on cloud environments, including ETL pipelines, data modeling, and visualization.
• Develop and drive domain and application standards that align with enterprise architecture direction.
• Perform data landscape assessments and portfolio rationalization to modernize and migrate applications to hyper-scale clouds.
• Provide technical guidance to project teams and collaborate with other architects to ensure adherence to established standards.
• Engage with business and technology stakeholders through workshops to define requirements and suggest technical solutions.

Required Skills

• 5+ years of experience as a Data Solution Architect or in a similar role.
• Deep expertise in Databricks, including PySpark.
• Hands-on experience with Snowflake or Informatica Stack.
• Proven ability to build data architecture and pipelines using Azure, AWS, or GCP services.
• Strong knowledge of ETL pipelines and data modeling.
• Experience implementing Data Governance and Data Quality requirements.
• Familiarity with data consumption design patterns such as semantic layers, visualizations, and ML models.
• Understanding of Agile development and execution approaches.
• Ability to troubleshoot complex delivery issues and manage technical escalations.

Preferred Skills

• Experience with DBT, Snaplogic, or similar integration tools.
• Knowledge of RDM/MDM and data landscape modernization.

Key Skills

Education

Any Graduate