Rockwoods Inc
Data Architect
Skills
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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