Description

Key Responsibilities

• Conduct enterprise-wide data architecture assessments across multiple business domains.
• Analyze current-state architecture, integration patterns, data flows, data warehouses, lakehouses, and cloud environments.
• Define target-state data architectures, principles, standards, and modernization strategies.
• Evaluate ETL/ELT, BI, data integration, metadata management, data catalog, and AI/MarTech platforms.
• Assess data platforms for scalability, performance, resiliency, security, governance, and data quality.
• Develop architecture blueprints, data flow diagrams, reference architectures, and technology landscape maps.
• Identify architecture gaps, technical risks, dependencies, and opportunities for remediation.
• Lead stakeholder workshops, technical walkthroughs, discovery sessions, and architecture reviews.
• Facilitate collaboration among business stakeholders, data engineering, analytics, architecture, and technology teams.
• Translate assessment findings into actionable implementation roadmaps and strategic recommendations.
• Provide architecture guidance for AI, advanced analytics, and enterprise data modernization initiatives.
• Present technical findings and recommendations to senior leadership and executive stakeholders.

Required Qualifications

• 15+ years of overall IT/data architecture experience.
• Strong expertise in Data Warehouse, Data Lake, and Lakehouse architectures.
• Hands-on experience with cloud platforms, particularly Google Cloud Platform (GCP).
• Experience with modern data platforms such as:

1. Snowflake
2. Databricks
3. Google BigQuery
4. Amazon Redshift
5. Azure Synapse
6. Or equivalent enterprise data platforms

• Strong understanding of ETL/ELT technologies and data integration frameworks.
• Experience with data governance, metadata management, data lineage, and data quality frameworks.
• Experience with BI and analytics platforms such as Power BI, Tableau, or Looker.
• Strong stakeholder management, communication, presentation, and facilitation skills.
• Ability to create detailed architecture artifacts, technical diagrams, and executive-level recommendations.

Preferred Qualifications

• GCP Professional Cloud Architect certification or similar cloud architecture certification.
• Experience supporting large-scale enterprise data modernization programs.
• Experience with AI/ML data platforms and advanced analytics architectures.
• Experience in insurance, financial services, healthcare, travel, or other large enterprise environments.
• Strong understanding of cloud data security, governance, and architecture best practices

Key Skills

Education

Bachelor's degree