Senior Cloud Data Platform Engineer

A leading enterprise organization is seeking a highly skilled Cloud Data Platform Engineer to support the development and modernization of enterprise-scale data ecosystems. This role will focus on building trusted, scalable, and governed data solutions leveraging Snowflake, AWS, open table technologies, and semantic data modeling practices. The ideal candidate combines strong hands-on engineering expertise with a deep understanding of data governance, metadata strategy, and business-aligned data architecture. Core Responsibilities Develop and maintain scalable data pipelines supporting structured, semi-structured, and unstructured data assets. Design and optimize cloud-native data architectures utilizing Snowflake as the enterprise strategic data platform. Build and support ingestion and extract-load workflows using enterprise integration technologies. Create modular transformation frameworks and reusable data models using modern analytics engineering methodologies. Work within AWS cloud environments to support enterprise data applications and integrated data services. Support implementation of open table architectures including schema evolution, interoperability, and governed access patterns. Contribute to enterprise metadata management, lineage, cataloging, policy enforcement, and governed data-sharing initiatives. Partner with architects, governance teams, analysts, and business stakeholders to develop trusted and reusable data products. Translate business terminology, domain concepts, and operational relationships into scalable logical and physical data models. Support semantic and ontology-driven modeling initiatives including taxonomies, entity relationships, business glossaries, and semantic mapping frameworks. Implement enterprise standards for data quality, observability, governance, security, and performance optimization. Support AI-ready and analytics-driven use cases across enterprise applications and business intelligence platforms. Required Qualifications, A Senior Applications Engineer is responsible for assessing the costs and resources required for a project or service. They analyze project specifications, review drawings and data…

• 1 month ago

Strong experience in enterprise data engineering, cloud data platforms, ETL/ELT development, and data modeling. Hands-on expertise with Snowflake including: Warehouse/lakehouse architectures Data modeling Performance tuning Security and access management Enterprise-scale implementation patterns Experience working within AWS cloud ecosystems and modern cloud-native architectures. Experience with enterprise ingestion and integration tools such as Informatica or similar platforms. Strong experience with dbt for transformation development, testing, documentation, and deployment workflows. Understanding of Apache Iceberg or similar open table frameworks including schema evolution and managed table concepts. Knowledge of metadata management, governance frameworks, data lineage, cataloging, and policy-based data access. Familiarity with ontology concepts, semantic modeling, taxonomies, business glossaries, or knowledge graph frameworks. Advanced SQL skills and experience with Python or related programming languages. Strong stakeholder communication and documentation capabilities. Preferred Qualifications Experience with enterprise metadata and governance capabilities within Snowflake environments. Experience building governed data products supporting analytics, AI, or operational applications. Exposure to semantic technologies such as RDF, OWL, SHACL, SPARQL, or graph-oriented platforms. Experience with CI/CD pipelines, Git-based workflows, automated testing, and deployment practices. Familiarity with data observability, lineage monitoring, data contracts, and enterprise quality frameworks. Prior experience working in large-scale, multi-domain enterprise data environments.

• $155,000-175,000 per year