Title Data Architect/Data Modeler
Location Nashville, TN(Onsite )
Type- Long Term Contract
Major Responsibilities:
This role will focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for the implementation of technically robust solutions encompassing all business, architecture, and technology constraints.
Lead the design and implementation of scalable and efficient data architecture solutions using Google Cloud Platform technologies such as BigQuery, Cloud Dataflow, Cloud Spanner, Pub/Sub, and Google Cloud Storage.
Architect and manage data lakes and data warehouses with an emphasis on performance, scalability, and cost-efficiency.
Deep understanding of Lakehouse design patterns, including Delta Lake, Apache Iceberg, and Hudi.
Experience designing scalable, high-performance, and cost-effective data architectures on Google Cloud Platform.
Strong knowledge of data partitioning, indexing, schema evolution, and ACID compliance within a Lakehouse environment.
Design and optimize ETL/ELT pipelines and data workflows for high-volume, high-velocity data across the cloud environment.
Collaborate with stakeholders to understand business requirements and develop strategies for data architecture that align with organizational goals.
Drive the integration of data from disparate sources, ensuring data quality, consistency, and reliability across various platforms.
Work with data engineering teams to ensure seamless data ingestion, transformation, and consumption processes in the cloud environment using Agile practices and principles.
Develop and enforce best practices around standards, frameworks, data quality, data integration, data governance, security, data retention, and compliance for data management in the cloud.
Mentor and provide technical guidance to junior data engineers and architects on the use of cloud data platforms and engineering practices.
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