Data Architect

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🔥 0 minutes ago

🏄 California, Colorado, +18 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $90k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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GPCOM

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GPCOM is a regional fiber-optic telecommunications provider operating as Great Plains Communications. It serves residential, business and carrier customers across Nebraska, Indiana, Colorado and nearby areas with over 20,000 miles of fiber. Services include high‑speed residential internet and bundled TV/phone/whole‑home Wi‑Fi (Plume), business Ethernet, point‑to‑point and point‑to‑multipoint connectivity, cloud‑based voice/VoIP and unified communications, and carrier & wholesale fiber services for ISPs and wireless carriers. The company emphasizes network reliability, security features (malware prevention, device quarantine, parental controls) and local customer support.

📋 Description

• Define and maintain enterprise data architecture and roadmaps aligned with business priorities, enterprise architecture principles and technical requirements • Translate business requirements into data architecture and design specifications with stakeholders, Business Analysts, Software Engineering and technical teams • Develop and maintain conceptual, logical and physical data models, including ERDs • Define authoritative data sources and cross-system identifier strategies • Design data integration patterns for movement, transformation and synchronization across systems • Define Snowflake data platform architecture, including data organization, workload design, performance and cost optimization • Establish PostgreSQL data design standards and provide guidance on database structures, query performance and operational requirements • Define standards for schemas, naming conventions and data organization • Guide physical database designs and support data integrity, performance and efficient storage • Define source-to-target mappings and transformation specifications and review implementation designs • Partner with Data Governance and business data owners on definitions, ownership and governance policies • Define data quality, validation, reconciliation, metadata and lineage requirements • Partner with Security, Data Governance and platform administrators on classifications, access controls, encryption and data handling • Translate retention, archival and disposal policies into architecture requirements • Collaborate with DevOps and Infrastructure on version control, deployment, monitoring and recovery requirements • Review solution designs and vendor proposals for alignment with enterprise data architecture standards • Assess data changes and guide model and schema evolution while managing downstream dependencies • Maintain architecture documentation, standards and design decisions • Provide technical leadership and knowledge transfer to developers, data teams and stakeholders • Support audits and compliance reviews with architecture documentation and evidence • Design architecture for AI, ML and advanced analytics use cases • Evaluate emerging data technologies and recommend adoption • Perform other related duties as assigned by management

🎯 Requirements

• Bachelor’s degree in computer science, information technology or a related field, or an equivalent combination of relevant education, training and experience • 5+ years of experience in data architecture, data modeling, and database management • Certifications in data architecture, database management, or related fields are a plus • Strong analytical and problem-solving skills • Ability to assess architecture tradeoffs and explain their business impact, cost and long-term support implications • Strong facilitation and negotiation skills • Ability to work through ambiguity, identify gaps in requirements and make recommendations with clearly documented assumptions • Strong organizational skills, with the ability to prioritize competing demands and manage dependencies across initiatives • Experience in the telecommunications sector desirable

🏖️ Benefits

• Competitive pay and comprehensive benefits • Professional development and career growth opportunities • A collaborative, supportive team environment • Meaningful work that impacts customers and communities • Opportunities to work with talented colleagues across a growing organization

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