Google Cloud Platform Data Architect- Only Local to Nashville, TN

Job Title: Google Cloud Platform Data Architect- Only Local to Nashville, TN
Location: Nashville, TN (Onsite)
Duration: Long Term Contract
Pay Rate: $73/hr on 1099 Or C2C

Job Description
We are seeking an experienced and highly skilled Data Architect to join our dynamic team. The ideal candidate will have a strong background in data architecture, cloud-based data solutions, and data engineering, with hands-on experience with Google Cloud Platform (Google Cloud Platform). In this role, you will be responsible for designing, implementing, and optimizing scalable, high-performance data solutions that support advanced analytics, AI/ML, and real-time decision-making across our enterprise.

As a key technical leader, you will collaborate closely with data engineers, software engineers, cloud architects and business stakeholders to develop a modern data ecosystem that enables seamless integration of structured and unstructured data, ensures robust governance and security, and drives innovation in healthcare data management. You will leverage technologies such as BigQuery, Dataproc, Dataflow, Pub/Sub, Vertex AI and Apache Iceberg/Delta Lake to build a unified and efficient data platform.

Data Architects are expected to come into the position with a great deal of prior knowledge and experience and need to demonstrate the ability to learn quickly and drive a team-oriented environment. Extensive experience in data engineering and data management is important in this position as well as exposure to Business Intelligence/Artificial Intelligence tools and concepts, as a strategic goal of the organization is to build an integrated and enterprise grade Lakehouse environment.

This is an exciting opportunity to shape the next-generation data strategy for a leading healthcare organization, enabling insights that improve patient outcomes, enhance operational efficiency, and support regulatory compliance. If you are passionate about data architecture, cloud technologies, and transforming healthcare through data-driven insights, we invite you to join our team.

Major Responsibilities:
Core Competencies
The following are highlighted entrepreneurial competencies and core expectations for the job/role:
Communication and interpersonal skills
Problem-solving and critical thinking skills.
Understand strategic imperatives.
Technology & business knowledge

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.