Job Description
Job Description:
We are seeking a highly experienced Data Architect to lead enterprise data architecture assessments, architecture reviews, and data modernization initiatives. The ideal candidate will evaluate current-state data ecosystems, define target-state architectures, assess modern data platforms and technologies, and develop strategic roadmaps that enable analytics, AI, and data-driven business transformation.
This role requires strong technical architecture expertise combined with the ability to communicate complex data strategies to business and executive stakeholders.
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:
- Snowflake
- Databricks
- Google BigQuery
- Amazon Redshift
- Azure Synapse
- 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.