Data Architect

Job not on LinkedIn

🔥 18 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Liveops, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🤝 B2B

🤖 Artificial Intelligence

🏢 Enterprise

B2B • Artificial Intelligence • Enterprise

Liveops is a provider of flexible, distributed contact center and customer support solutions that combines human agents with AI-powered technology. The company offers onshore, nearshore, and offshore talent and services including customer service, technical support, sales/lead generation, back-office support, and learning and development. Liveops emphasizes AI-enabled tools (LiveNexus Agent Assist), precision scheduling, security and compliance for regulated industries, and industry-focused programs for healthcare, insurance, retail, financial services, travel, energy, communications, and government. It positions itself as a B2B partner delivering scalable, enterprise-grade outsourcing and technology to improve customer experience and operational efficiency.

📋 Description

• Define and implement the organization’s enterprise data architecture, including data models, pipelines, and platform strategy • Lead integrations between internal platforms such as Salesforce and CX platforms and third-party systems • Establish and enforce standards for data quality, metadata management, lineage, and classification • Partner with engineering, security, and compliance teams on privacy, retention, and access control policies • Support compliance with SOC 2, HIPAA, GDPR, and PCI DSS • Lead data risk reviews, support vendor onboarding, and ensure technical audit readiness • Manage and mentor data engineers, analysts, and specialists • Lead recruitment, onboarding, performance management, and professional development • Drive adoption of data best practices and promote a data-driven culture • Provide thought leadership on modern data stacks, cloud data architecture, and advanced analytics • Lead selection, implementation, and ongoing management of enterprise data platforms • Evaluate and implement ELT tools, DBT, Kafka, and cloud-native services • Support enterprise analytics, AI/ML use cases, and enterprise-wide data warehousing initiatives • Report directly to the Director, Enterprise Applications & Data • Initially manage one direct report, with potential team expansion

🎯 Requirements

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or related field (or equivalent years’ experience) • 8+ years of progressive experience in data architecture, data engineering, or enterprise data management • Strong experience with cloud platforms (AWS, Azure, or GCP) • Experience with modern data stacks, including ELT tools, DBT, Kafka, Snowflake, BigQuery, or Redshift • Experience managing cross-functional data teams • Strong understanding of data modeling (OLTP/OLAP), APIs, and system integration • Familiarity with SOC 2, HIPAA, GDPR, and PCI DSS • Experience with AI/ML, predictive analytics, or advanced data science applications • Excellent communication and stakeholder management skills • Ability to work independently and meet deadlines • Ability to work regular business hours with a flexible schedule • Ability to travel 10% as needed • Professional certifications such as CDMP, AWS Certified Data Analytics Specialty, or TOGAF preferred • Master’s degree preferred

🏖️ Benefits

• Remote work in Mexico • Flexible work schedule • Professional development • Travel opportunities (10% as needed)