Enterprise Data Architect

Role Overview: As the Enterprise Data Architect, you will be the strategic owner of the data ecosystem. Your responsibilities will include advising on end-to-end data warehouse and Lakehouse strategies, delivering authoritative Points of View (POVs) on competitive tooling, and designing scalable architectures to eliminate manual workflows and data reconciliation bottlenecks. Key Responsibilities: - Minimum 8+ years of dedicated experience in data architecture, enterprise data modeling, or database strategy. - Platform Delivery at Scale: Architecting and delivering data solutions at scale using platform ecosystems like Snowflake, Databricks, or Microsoft Fabric. - Executive Advisory: Operating as a principal or lead architect advising executive stakeholders on cloud data warehouse selection. - Solution Evaluation & Strategy: Evaluating enterprise data solutions and presenting high-level business POVs comparing Microsoft Fabric, Databricks, Snowflake, Azure Synapse, and open-source ecosystems. - Data Modeling & Architecture: Designing modern data architectures (Lambda/Kappa architecture, Lakehouse, Star/Snowflake schemas) at an expert level. - Governance & Data Lineage: Building out automated schema change detection, data quality frameworks, and end-to-end data lineage across pipelines and BI tools. - Stakeholder Management: Communicating effectively to bridge business KPIs with technical data blueprints for executive leadership. Qualifications Required: - Minimum 8+ years of dedicated experience in data architecture, enterprise data modeling, or database strategy. - Proven experience architecting and delivering data solutions at scale using platform ecosystems like Snowflake, Databricks, or Microsoft Fabric. - Demonstrated success operating as a principal or lead architect advising executive stakeholders on cloud data warehouse selection. - Expert-level proficiency in designing modern data architectures (Lambda/Kappa architecture, Lakehouse, Star/Snowflake schemas). - Experience building out automated schema change detection, data quality frameworks, and end-to-end data lineage across pipelines and BI tools. - Exceptional communication skills with the ability to bridge business KPIs with technical data blueprints for executive leadership. Role Overview: As the Enterprise Data Architect, you will be the strategic owner of the data ecosystem. Your responsibilities will include advising on end-to-end data warehouse and Lakehouse strategies, delivering authoritative Points of View (POVs) on competitive tooling, and designing scalable architectures to eliminate manual workflows and data reconciliation bottlenecks. Key Responsibilities: - Minimum 8+ years of dedicated experience in data architecture, enterprise data modeling, or database strategy. - Platform Delivery at Scale: Architecting and delivering data solutions at scale using platform ecosystems like Snowflake, Databricks, or Microsoft Fabric. - Executive Advisory: Operating as a principal or lead architect advising executive stakeholders on cloud data warehouse selection. - Solution Evaluation & Strategy: Evaluating enterprise data solutions and presenting high-level business POVs comparing Microsoft Fabric, Databricks, Snowflake, Azure Synapse, and open-source ecosystems. - Data Modeling & Architecture: Designing modern data architectures (Lambda/Kappa architecture, Lakehouse, Star/Snowflake schemas) at an expert level. - Governance & Data Lineage: Building out automated schema change detection, data quality frameworks, and end-to-end data lineage across pipelines and BI tools. - Stakeholder Management: Communicating effectively to bridge business KPIs with technical data blueprints for executive leadership. Qualifications Required: - Minimum 8+ years of dedicated experience in data architecture, enterprise data modeling, or database strategy. - Proven experience architecting and delivering data solutions at scale using platform ecosystems like Snowflake, Databricks, or Microsoft Fabric. - Demonstrated success operating as a principal or lead architect advising executive stakeholders on cloud data warehouse selection. - Expert-level proficiency in designing modern data architectures (Lambda/Kappa architecture, Lakehouse, Star/Snowflake schemas). - Experience building out automated schema change detection, data quality frameworks, and end-to-end data lineage across pipelines and BI tools. - Exceptional communication skills with the ability to bridge business KPIs with technical data blueprints for executive leadership.