Sr Manager, Data Architecture
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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote role plus broad data architecture and tooling requirements raise applicant density moderately.
Core data architecture and MDM skills transfer across industries, though enterprise/manufacturing context is preferred.
Explicit 13+ years requirement and mandatory enterprise data architecture, MDM and Big Data skills increase filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain enterprise data architecture blueprints, standards, and policies including metadata, confidentiality, integrity, and availability controls.
Lead data architecture design efforts from proof of concept to implementation for complex data solutions including data warehouses and master data management.
Drive modernization of legacy platforms, promote advanced analytics/AI adoption, and ensure compliance with data governance and security practices.
Minimum Requirements
Undergraduate degree with 13+ years relevant experience or Graduate degree with 10-12 years relevant experience.
7-10 years in at least two IT disciplines such as technical/solution architecture, database management, application development, or network management; or 5 years in solution architecture/business analysis/strategic planning.
Experience with Big Data tools and frameworks (e.g., Hadoop, Spark, Kafka), Data Architecture & Modeling, Master Data Management, Data Governance, Integration technologies, ETL/ELT tools.
Work Experience Required: 10+ years overall, specific experience as detailed above.
Ideal Candidate Profile
Experienced enterprise architect with proven leadership driving technical data architecture and modernization initiatives in complex heterogeneous IT environments.
Strong expertise in data governance, master data management, and advanced analytics integration to improve data quality and operational efficiency.
Skilled at collaboration and influencing across global teams and external partners to enforce standards and drive innovative, scalable data solutions.