Data Architect

AEO Management Co.
Pittsburgh, PA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Business Analytics Applications BigQuery Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Modular Design Google Cloud Data Strategy Data Analytics

Job description

Experteer Overview In this Data Architect role, you will design and implement the enterprise data architecture and ETL frameworks on a Google Cloud Platform data warehouse. You will shape the data strategy, ensuring scalable, secure, high-quality data products for analysts and business users. You’ll bridge architecture, engineering, and business, partnering with stakeholders to enable strategic analytics and impactful decision-making. This position offers the chance to lead modernization across the data stack and mentor engineers, all within a collaborative, cross-functional environment. Compensation / Benefits * Design and implement scalable data architecture and pipelines for the GCP-based data warehouse (BigQuery) * Own end-to-end ETL/ELT architecture including ingestion, transformation, modeling, and orchestration * Collaborate with business leaders and BI team to translate goals into data products and analytics solutions * Ensure data governance, quality, security, and architectural best practices * Drive modernization by researching and adopting emerging data technologies and tools * Mentor data engineers and cross-functional teams * Contribute to data platform roadmap, vendor evaluations, and tool selections * Promote reusable patterns, modular design, and automation for long-term scalability Tasks * 10+ years in data engineering, data architecture, or data analytics; at least 3 years as a Data Architect Key requirements * Generous employee discount * Summer Fridays * Casual dress code * Hybrid schedule * FOMO events (company-wide) * Health and retirement benefits including 401(k) and stock purchase program

Requirements

and best practices * Drive modernization by researching and adopting emerging data technologies and tools * Mentor data engineers and cross-functional teams * Contribute to data platform roadmap, vendor evaluations, and tool selections * Promote reusable patterns, modular design, and automation for long-term scalability Tasks * 10+ years in data engineering, data architecture, or data analytics; at least 3 years as a Data Architect Key requirements * Generous employee discount * Summer Fridays * Casual dress code * Hybrid schedule * FOMO events (company-wide) * Health and retirement benefits including 401(k) and stock purchase program

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Good distractions

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