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# Senior Snowflake Engineer - MDM Architecture in United

- **Company:** Energy Jobline
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Big Data, Profiling, Continuous Integration, Data as a Services, Data Deduplication, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Database Design, Database Queries, DevOps, Performance Tuning, Reference Data, Release Management, SQL Databases, Data Streaming, Enterprise Data Management, Cloud Platform System, Macros, Data Ingestion, Snowflake, Git, Pyspark, Deployment Automation, Data Management, Entity Resolution
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/senior-snowflake-engineer-mdm-architecture-united-31827902

## About the Role

Snowflake: Strong hands-on experience with Snowflake architecture and development, including database design, data modeling, data loading, transformation, performance tuning, security, and optimization.

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MDM Architecture: Strong experience designing and implementing Master Data Management solutions and architectures. Understanding of master data domains, golden records, entity resolution, matching and merging, survivorship, hierarchies, relationships, cross-reference identifiers, and master data distribution.

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Data Engineering: Strong hands-on experience building enterprise data pipelines and data integration solutions using cloud-based data platforms.

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AWS: Strong hands-on experience with AWS data services and building scalable cloud data ingestion and processing solutions.

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DBT: Strong hands-on experience developing DBT models, macros, tests, documentation, and deployment processes.

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Data Modeling: Strong experience with conceptual, logical, and physical data modeling, including dimensional models, normalized models, master data models, reference data, hierarchies, and relationships.

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Data Quality: Experience implementing data quality frameworks including profiling, validation, standardization, cleansing, deduplication, reconciliation, and exception handling.

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SQL: Strong SQL skills including complex queries, data transformation, performance tuning, and optimization.

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PySpark: Experience developing PySpark applications for data ingestion, transformation, cleansing, and large-scale data processing.

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Data Integration: Experience integrating data from multiple enterprise source systems and designing scalable source-to-target data flows.

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DevOps / CI/CD: Experience with Git, CI/CD pipelines, deployment automation, release management, and environment promotion.

## Description

We are looking for an experienced Senior Snowflake Engineer with strong Master Data Management (MDM) architecture experience to join the team. This role will be responsible for designing, developing, and supporting enterprise-scale data solutions using Snowflake, AWS, DBT, and modern data integration technologies, with a strong focus on MDM, data quality, data governance, and trusted enterprise data. The ideal candidate will have deep hands-on experience with Snowflake and modern cloud data engineering, combined with a strong understanding of MDM architecture, master data domains, entity resolution, survivorship, matching, golden records, data quality, and data governance. The candidate should be able to translate MDM business requirements into scalable technical solutions and work across data engineering, architecture, governance, and downstream consuming systems.


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