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Data Warehouse Architect
2651 Manhattan Beach Blvd Redondo Beach, CA 90278 US
Job Description
Pay Range: $75/hour to $85/hour
About the Role
We’re looking for an experienced and proactive Data Warehouse Architect to design, implement, and optimize our new data warehouse environment. This is a foundational role where you’ll guide tool selection, establish data processes, and build a robust, scalable platform that empowers data-driven decision-making across the organization.
You’ll play a key role in transforming our current reporting capabilities into a modern, integrated data ecosystem — enabling our teams to access, trust, and act on data with confidence.
Key Responsibilities
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Platform Strategy & Tool Evaluation:
Assess existing data capabilities and evaluate modern data stack tools, including Airbyte, Redshift, and Retool, to identify the best-fit architecture for our needs.
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Implementation & Architecture:
Design and oversee the end-to-end data warehouse solution — from ingestion (ETL/ELT) to storage, modeling, and reporting layers.
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Process Development:
Establish best practices for data governance, data quality, security, and documentation to ensure a sustainable, reliable data environment.
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Data Integration:
Build and maintain data pipelines to integrate multiple sources into the warehouse, ensuring data accuracy and consistency.
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Reporting & BI Optimization:
Enhance Power BI and other BI tools for advanced reporting, dashboarding, and analytics capabilities.
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Training & Enablement:
Develop documentation and conduct hands-on sessions to empower internal “power users” and foster a data-driven culture.
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Stakeholder Collaboration:
Partner with business leaders and technical teams to define requirements, provide technical guidance, and align data initiatives with strategic objectives.
Required Skills & Qualifications
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Proven experience in designing, implementing, and optimizing data warehouse solutions.
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Strong hands-on expertise with data warehousing platforms and ETL/ELT tools (experience with Airbyte preferred).
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Proficiency in Power BI (highly desired) and/or Tableau for reporting and visualization.
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Strong SQL skills for data extraction, transformation, and optimization.
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Solid understanding of data modeling, data governance, and database management principles.
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Excellent communication and presentation skills; able to translate complex data concepts into actionable business insights.
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Strong project management skills, with experience overseeing data implementations from concept to delivery.
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A passion for mentoring and teaching, building data literacy within an organization.
Preferred Qualifications
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Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related quantitative field.
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Experience with Retool and/or cloud platforms (AWS, Azure, GCP).
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Certifications in data warehousing, cloud technologies (e.g., AWS Certified Database – Specialty), or BI tools.
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