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Data Cloud Architect United States Jobs (On-site work)

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Cloud Solutions Architect – Data Platforms
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Join our team as a Cloud Solutions Architect for Data Platforms in Alpharetta. Design cutting-edge data architectures using Snowflake, Databricks, and Azure for key clients. Leverage your 8+ years of data engineering experience in a presales role, crafting solutions from concept to proposal.
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United States , Alpharetta
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Not provided
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Tier4 Group
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Until further notice
Cloud Data Platform Architect
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Join Circle K's Global Data Engineering team as a Cloud Data Platform Architect in Charlotte. Design and build our enterprise-scale Azure data platform using Databricks, Snowflake, and Power BI. You will lead architectural decisions, optimize data delivery, and mentor engineering teams.
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United States of America , Charlotte
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Circle K
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Until further notice
Explore the dynamic and high-impact world of Data Cloud Architect jobs, a pivotal role at the intersection of data strategy and cloud technology. A Data Cloud Architect is a senior technical leader responsible for designing, building, and governing an organization's entire data ecosystem within cloud platforms. This profession involves creating the master blueprint that enables businesses to harness their data as a strategic asset, driving insights, personalization, and innovation. Professionals in this role typically act as strategic advisors, translating complex business challenges into scalable, secure, and efficient technical architectures. Their core mission is to unify disparate data sources—from customer interactions to operational systems—into a coherent, accessible, and real-time cloud-based platform. Common responsibilities include leading architectural discovery sessions, defining data models and domains, and establishing robust data ingestion, transformation, and storage patterns. They design for critical aspects like identity resolution, real-time analytics, and machine learning readiness. A significant part of the role involves ensuring the architecture adheres to stringent governance, privacy regulations (like GDPR or CCPA), and security standards. Furthermore, Data Cloud Architects often mentor technical teams, collaborate with executive stakeholders to align technology with business ROI, and evaluate emerging technologies to keep the data strategy future-proof. The typical skill set for these jobs is both broad and deep. It requires extensive experience in enterprise data architecture and hands-on expertise with major cloud platforms like AWS, Azure, or Google Cloud, and their specific data services (e.g., Redshift, Snowflake, Databricks, BigQuery). Proficiency in data modeling, SQL, and programming languages like Python is standard. Architects must be adept at implementing Infrastructure as Code (IaC) using tools like Terraform and designing orchestration workflows with Apache Airflow. Equally important are strong consultative soft skills: the ability to communicate complex technical concepts to C-level executives, lead workshops, and author solution documentation. A proven track record in designing large-scale, cloud-native data solutions that balance performance, cost, and compliance is a fundamental requirement. For those seeking to lead digital transformation, Data Cloud Architect jobs offer a career path defined by continuous learning and significant influence. These professionals are the foundational builders of the modern, data-driven enterprise, making them among the most sought-after roles in today's technology landscape.

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