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Data Architect

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Onsite

Data Architect

Rockwoods Inc

Data Architect

Skills

Google Cloud PlatformData EngineeringPythonSnowflakeData AnalysisMachine LearningAIAWSdbtApache AirflowComplianceAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

26 September 2026

What they need


Job Description: Data Architect

Location: Remote

Type: Contract

Role Overview

Rockwoods is seeking a hands-on Data Architect to lead the design, implementation, and optimization of modern data platforms. This role requires a strong balance of technical expertise, architectural vision, and independent ownership . The ideal candidate will be deeply skilled in Snowflake, dbt, Python, orchestration frameworks, and cloud infrastructure , while also bringing experience in AI-ready semantic/metadata foundations, LLM integration, and Retrieval-Augmented Generation (RAG) .

This is not a purely advisory role — we need someone who can roll up their sleeves, own solutions end-to-end, and consistently drive progress without heavy oversight . The right candidate will demonstrate strong communication, proactive problem-solving, and the ability to operate independently in complex, fast-paced environments.

Key Responsibilities

Architecture & Implementation

  • Define and implement modern data platform patterns across Snowflake, dbt, Python, orchestration tools (Airflow, ADF, etc.), and cloud-native services (AWS/Azure/GCP) .
  • Design API-based and event-driven ingestion frameworks for scalable, real-time data processing.
  • Establish semantic and metadata foundations to enable AI-ready environments, including support for LLM and RAG-based architectures .
  • Build scalable data pipelines, transformation layers, and advanced data models for analytics and AI/ML workloads.

Governance, Security & Standards

  • Set and enforce data modeling, governance, and security standards , ensuring compliance and scalability.
  • Implement data quality frameworks, lineage tracking, and monitoring solutions to build trust in analytics.
  • Drive cost optimization strategies across Snowflake and cloud infrastructure.

Leadership & Ownership

  • Guide engineers through design reviews, solution standards, and best practices.
  • Take full ownership of tasks and solutions — from understanding context and investigating independently to delivering outcomes with minimal follow-up.
  • Provide clear visibility into progress, proactively communicate updates, and ensure alignment with business objectives.

Problem-Solving & Delivery

  • Troubleshoot production issues with a pragmatic, hands-on approach.
  • Raise well-researched, relevant questions when blocked, explaining prior investigation and context.
  • Balance technical rigor with delivery pragmatism to achieve business outcomes efficiently.

Required Skills & Experience

  • 10+ years of experience in Data Architecture/Data Engineering roles.
  • Strong hands-on expertise with Snowflake, dbt, Python, and orchestration tools (Airflow, ADF, etc.) .
  • Deep knowledge of data modeling, pipeline development, and event-driven architectures .
  • Proven experience with cloud infrastructure (AWS, Azure, GCP) and API-based ingestion frameworks.
  • Strong understanding of query optimization, workload/resource management, cost management, and governance/security controls .
  • Exposure to AI/ML data environments, LLM integration, and RAG-based architectures .
  • Excellent communication skills, attention to detail, and ability to independently drive outcomes .

What We’re Looking For

Beyond technical skills, we value ownership, attention to detail, proactive communication, and independent execution . We need professionals who:

  • Can own tasks end-to-end without requiring constant direction.
  • Pay attention to prior discussions and documentation, avoiding repetitive basic questions.
  • Investigate issues thoroughly before seeking help, and when they do, come prepared with context and clear articulation of blockers.
  • Consistently drive work forward, ensuring visibility and accountability.

Why Join

  • Opportunity to own architecture and delivery end-to-end in a modern data platform environment.
  • Work with cutting-edge technologies across Snowflake, dbt, Python, cloud-native services, and AI-ready architectures (LLM, RAG) .
  • Remote flexibility with a contract-based engagement.
  • Culture that values independence, proactive communication, and pragmatic problem-solving .

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