Enterprise Data Architect-AWS

As an Enterprise Data Architect at Aptus Data Labs, you will play a crucial role in designing modern data platforms, integrating complex enterprise datasets, and driving large-scale digital and AI initiatives. With your 15+ years of experience in data engineering, data platforms, data governance, data integration, and data operations, you will lead the enterprise data architecture strategy focusing on scalability, modernization, interoperability, and business alignment. Your expertise in Databricks Lakehouse solutions on AWS, Reltio MDM, and other key technologies will enable you to architect high-impact platforms and drive data modernization initiatives across global teams. **Key Responsibilities:** - Lead the enterprise data architecture strategy, emphasizing scalability, modernization, interoperability, and business alignment. - Architect and operationalize Databricks Lakehouse solutions on AWS, covering ingestion, transformation, orchestration, governance, and consumption layers. - Design and implement Medallion architecture (Bronze-Silver-Gold) with 100+ source integrations using Boomi Integrator and Databricks pipelines. - Drive enterprise Master Data Management (MDM) using Reltio, including entity modeling, data quality, match-merge rules, survivorship, workflows, and golden record stewardship. - Establish frameworks for metadata management, data quality, lineage, cataloging, and governance, leveraging Unity Catalog and AWS-native security. - Enable AI and analytics teams by building AI-ready datasets, feature stores, and GenAI-supporting data pipelines. - Provide leadership, mentorship, and architectural oversight for data engineering, governance, and platform teams. - Implement enterprise standards for data security, IAM, compliance (GDPR/HIPAA), observability, and cloud cost optimization. - Collaborate with global business stakeholders across the US, India, and Ireland to drive data modernization, cloud migration, and aligned domain strategies. **Required Skills & Experience:** - 15+ years of hands-on experience in data engineering, data platforms, data integration, data governance, and data operations. - Strong hands-on experience with Reltio MDM and Databricks Lakehouse technologies. - Expertise in AWS data ecosystem and related tools. - Proficiency in SQL, Python, PySpark, and API-driven integrations. - Deep understanding of data governance, metadata, lineage, observability, and MDM frameworks. - Experience with modern data stack tools is advantageous. - Excellent communication skills and the ability to collaborate effectively with global teams. - AWS or Databricks certifications are preferred. Join Aptus Data Labs to shape future-ready digital ecosystems and drive growth, efficiency, and strategic advantage through innovative data solutions.,