Description

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

Responsibilities

• Design and build enterprise data platforms, ETL pipelines, and data models on cloud environments.
• Develop domain and application standards aligned with enterprise architecture direction.
• Perform data landscape assessments and portfolio rationalization to modernize applications.
• Provide technical guidance to project teams and collaborate with architects to ensure standards adherence.
• Engage with stakeholders through workshops to define requirements and suggest technical solutions.

Required Skills

• 5+ years as a Data Solution Architect or similar role.
• Deep expertise in Databricks and PySpark.
• Hands-on experience with Snowflake or Informatica Stack.
• Proven ability to build data architecture and pipelines using Azure, AWS, or GCP.
• Strong knowledge of ETL pipelines and data modeling.
• Experience implementing Data Governance and Data Quality requirements.
• Familiarity with semantic layers, visualizations, and ML model consumption patterns.
• 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