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