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Data Architect
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Job Description
About Liveops Liveops is 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, HIPA
Required Skills
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