Job Description
Job Summary
The Data Solutions Architect develops and implements complex level frameworks that align the organization's information technology infrastructure with business processes and enterprise data to improve the efficiency of business operations. Data solutions architect will design data governance to Architecture and help to build and roll out governance frameworks across Minerva landscape. This job also partners with leadership to understand the organization's architecture and technology needs to help establish priorities and strategies consistent with organizational goals.
· RELATIONSHIP MAPPING: Maps the relationships between different components of complex information technology systems, such as technology end users, systems software and hardware, system capabilities, and information transmission networks.
· DEPENDENCY IDENTIFICATION: Identifies key technology interactions and dependencies across systems and platforms to assess the organization's ability to achieve integration, compatibility, functionality and performance targets.
· COST EVALUATION: Calculates total cost of ownership and return on investment of various information technology platform and infrastructure alternatives to support architecture decision making.
· CONTINUOUS IMPROVEMENT: Implements continuous improvement efforts by working with teams to simplify and optimize processes, improve data integrity, and leverage technical platforms.
· STANDARDS, BEST PRACTICES & ROADMAPS: Ensures alignment to technical architecture standards for platforms, software, procedures for use by internal and external resources and, communicates and documents current state architectures.
· Identify value of future scenarios, resource allocation, how to anticipate potential obstacles and contribute to the end-to-end execution.
Work Experience Requirements
· Minimum working experience of 12 plus years in the industry with last 6 years in the data solutions architecture space.
· Very good experience designing and rolling out data pipelines in large enterprises. A strong background in data engineering tech stack is highly desirable.
· Very good knowledge about AWS cloud platform solutions with a focus on data security and data analytics.
· Familiar with implementation of fine ‑ grained access controls for data assets, including role-based and attribute-based access patterns.
· Well versed in architecting metadata capabilities (cataloging, classification, lineage, and tagging) to support governance, discoverability, and compliance.
· Align platform implementations with control frameworks such as NIST, Familiar with GDPR regulations, translating policy requirements into enforceable technical controls and supporting audit readiness.
· Collaborate with data, platform, and security teams to enable scalable, self-service data access while maintaining strong governance standards.
