Data Architect

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Architect in United States.

In this role, you will act as a key technical leader guiding enterprise customers through their Google Cloud data transformation journey. You will design and implement scalable, secure, and cost-effective data architectures that turn complex datasets into actionable business value. Working at the intersection of business and technology, you will translate requirements into robust cloud-native solutions across modern data platforms. You will also play a critical role in shaping data strategy, enabling analytics, and supporting large-scale migrations to Google Cloud. This is a highly collaborative position where you will engage with stakeholders, engineering teams, and leadership to deliver end-to-end solutions. The environment is fast-paced, innovation-driven, and focused on measurable outcomes powered by AI and data.

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Accountabilities:

• Act as a key architecture advisor, bridging business and technical stakeholders to define scalable and effective data strategies aligned with client objectives and cloud transformation goals.
• Design and implement end-to-end data architectures on Google Cloud, including data platforms, pipelines, storage, orchestration, security, and analytics layers.
• Lead the development of Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate architecture approaches and accelerate solution delivery.
• Support complex data migration initiatives, including transformation of database structures, SQL translation, and workload migration into BigQuery and Cloud SQL environments.
• Configure and deploy Google Cloud components using Infrastructure as Code (IaC) practices and ensure reliable, repeatable cloud infrastructure setups.
• Provide expert-level guidance through workshops, technical reviews, and advisory sessions to client teams on architecture, tooling, and best practices.

Requirements:

• Strong experience in database management and IT, with deep expertise in data architecture design and cloud-based data solutions.
• Hands-on experience with Google Cloud services such as BigQuery, Cloud Storage, Dataproc, Dataflow, and Cloud Functions.
• Advanced SQL skills with ability to write, optimize, and interpret complex queries, plus experience with data modeling in BigQuery.
• Proficiency in data engineering frameworks and tools such as dbt or Dataform, along with orchestration tools like Airflow or Cloud Workflows.
• Strong programming skills in Python, with experience using data processing frameworks (Spark, Beam, Pandas) and API development tools (FastAPI, Flask, or similar).
• Experience leading or supporting large-scale data migrations (e.g., Teradata, Oracle, MySQL, Postgres to cloud platforms).
• Google Cloud Professional certifications (Architect or Data Engineer) are highly preferred.
• Excellent communication skills, with the ability to translate complex technical concepts into clear business recommendations.

Benefits:

• Competitive compensation package aligned with experience and market standards
• Opportunities to work on cutting-edge AI and cloud transformation initiatives
• Exposure to large-scale enterprise data modernization projects
• Professional growth through certifications, training, and continuous learning programs
• Collaborative, innovation-driven environment focused on cloud and AI technologies
• Flexible work arrangements depending on project and client needs

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How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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