Data Architect

About Liveops Liveopsis redefining what outsourced customer service means in a modern, always-on world, built on the belief that genuine connection drives brand loyalty. For over 25 years,we’vepairedcutting-edgetechnology with trusted, remote, and empathetic humanexpertiseto deliver agile, high-touch customer support solutions that scale with precision and care. As pioneers in the flexible workforce model, we bring global reach with unmatched adaptability—helping brands meet customer needs, anywhere, anytime. From complex interactions to seasonal surges, we proudly serve Fortune 500 and enterprise clients—delivering personalized experiences that earn trust and drive lasting impact.It’snot outsourcing;it’soutsmarting. To learn more, visit. We are seeking an experienced and strategic Data Architect (Manager) to lead the design, implementation, and governance of the organization’s enterprise data architecture. This role will initially manage one direct report, with the potential to expand as the data function grows. The Data Architect will partner with business, engineering, and compliance stakeholders to deliver scalable, secure, and integrated data platforms that enable analytics, reporting, compliance, and business operations. The Data Architect will report directly to the Director, Enterprise Applications & Data. The Qualifications We’re Looking For • Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or related field (or equivalent years’ experience). Masters preferred. • 8+ years of progressive experience in data architecture, data engineering, or enterprise data management. • Strong experience with cloud platforms (AWS, Azure, or GCP) and modern data stacks (e.g., ELT tools, DBT, Kafka, Snowflake, BigQuery, Redshift). • Proven leadership skills, with experience managing cross-functional data teams. • Strong understanding of data modeling (OLTP/OLAP), APIs, and system integration. • Familiarity with data privacy and compliance frameworks (SOC 2, HIPAA, GDPR, PCI DSS). • Excellent communication and stakeholder management skills. • Experience with AI/ML, predictive analytics, or advanced data science applications. • Professional certifications such as CDMP (Certified Data Management Professional), AWS Certified Data Analytics Specialty or TOGAF (for architecture frameworks) preferred. The Competencies You Bring Business Acumen * Conceptual Thinking * Dealing with Ambiguity * Leadership *Decision Making The Value You Deliver • Define and implement the organization’s enterprise data architecture, including data models, pipelines, and platform strategy. • Lead the design of integrations between internal platforms (e.g., Salesforce, 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 to align data practices with privacy, retention, and access control policies. • Support compliance with frameworks and regulations including SOC 2, HIPAA, GDPR, and PCI DSS. • Lead data risk reviews, support vendor onboarding, and ensure audit readiness from a technical standpoint. • Manage and mentor a team of data engineers, analysts, and specialists, fostering a culture of innovation and accountability. • Lead, manage, and hold accountable various team members, including recruitment, onboarding, performance management, and professional development. • Drive adoption of data best practices and promote a data-driven culture across the organization. • Provide thought leadership on modern data stacks, cloud data architecture, and advanced analytics. • Lead the selection, implementation, and ongoing management of enterprise data platforms. • Evaluate and implement modern data technologies (ELT tools, DBT, Kafka, cloud-native services) to optimize performance and scalability. • Support enterprise analytics, AI/ML use cases, and enterprise-wide data warehousing initiatives. Essential Job Functions Essential functions are the fundamental, crucial job duties that an employee must be able to perform, with or without reasonable accommodation. • Ability to sit or stand at a desk for extended periods of time while working on a computer. • Available for virtual meetings in a non-distracted environment. • Ability to work independently and meet deadlines. • Ability to work a flexible work schedule that includes regular business hours. • Ability to travel 10% as needed. Originally posted on Himalayas Data-Architect, Data-Engineering-Manager, Enterprise-Data-Architect, Data-Management-Professional, Analytics-Architect, IT-Data-Architect, Data-Systems-Architect, Data-Analytics-Architect, Principal-Data-Architect, Data-Model-Architect, Data-Infrastructure-Architect, AI-Data-Architect, Lead-Data-Architect