Associate Distinguished Engineer (Cloud Architecture, Cloud Infrastructure - AWS, Data Modeling, Master data management, Snowflake, ETL)

Requirements 15+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Leadership roles. Proven experience building and delivering enterprise-scale data platforms across large, complex, multi-business-unit organizations. Strong expertise in Snowflake, including architecture, performance optimization, cost management, governance, and data sharing. Strong hands-on experience in Data Modeling, including dimensional modeling and data vault methodologies. Strong understanding of ETL concepts, data integration, data transformation, and data pipeline design. Expert-level experience with Cloud Architecture and designing scalable, secure, and high-performing data ecosystems. Expert-level hands-on experience with AWS Cloud Infrastructure and cloud-native data services. Demonstrated experience delivering at least two enterprise Master Data Management (MDM) programs with direct accountability for match, merge, survivorship, and data stewardship decisions. Experience implementing and governing enterprise data platforms using modern data management and governance frameworks. Strong experience with semantic layers, business ontologies, and shared enterprise data models across multiple business domains. Hands-on experience with enterprise MDM platforms such as Reltio, Informatica MDM, Stibo, Tamr, or similar. Experience with data governance and cataloging solutions such as Collibra, including catalog, lineage, policy management, workflow, and user adoption. Experience implementing data quality frameworks and controls using tools such as Soda, Great Expectations, or similar platforms. Strong knowledge of cloud-based data ecosystems across AWS and Google Cloud environments. Experience with dbt, orchestration frameworks, streaming architectures, batch processing, and modern data engineering practices. Strong stakeholder management skills with the ability to engage executive leadership and influence strategic data decisions. Proven experience defining and advocating foundational data initiatives while balancing business priorities and delivery timelines. Strong consulting, client-facing, communication, and leadership capabilities. Experience working in organizations with complex and diverse source systems resulting from acquisitions, mergers, or legacy technology landscapes. Ability to translate complex data concepts into business outcomes for executive and non-technical stakeholders. Responsibilities Lead the design, architecture, and delivery of enterprise-scale data platforms that support strategic business objectives. Act as a trusted advisor to senior client stakeholders and data leadership teams on data strategy, architecture, governance, and modernization initiatives. Drive enterprise data architecture decisions and establish scalable frameworks, standards, and best practices. Define and implement enterprise-wide Master Data Management strategies, including data quality, match and merge processes,…