
IT Strategy & Consulting • AI, Data & Analytics • Cybersecurity
InfyStrat Software Services is an IT strategic partner for global organizations seeking to transform and grow in today’s challenging business environment. As a leader in IT services, digital solutions, consulting, and technology outsourcing, InfyStrat helps enterprises innovate while creating new avenues for value generation. With extensive experience across various industries and regions, InfyStrat is dedicated to delivering customized solutions that align with client needs.
August 9

IT Strategy & Consulting • AI, Data & Analytics • Cybersecurity
InfyStrat Software Services is an IT strategic partner for global organizations seeking to transform and grow in today’s challenging business environment. As a leader in IT services, digital solutions, consulting, and technology outsourcing, InfyStrat helps enterprises innovate while creating new avenues for value generation. With extensive experience across various industries and regions, InfyStrat is dedicated to delivering customized solutions that align with client needs.
• The key focus for the senior data architect is to perform planning aligned to key data solutions. • Build and participate the architecture capability building. • Perform data architecture and design, manage data architecture risk and compliance. • Provide design and build governance and support. • Communicate and share knowledge around the architecture practices, guardrails, blueprints and standards related to the data solution design. • Planning: Lead data solution requirements gathering and ensure alignment with business objectives and constraints. • Define and refine data architecture runways for intentional architecture with stakeholders. • Provide input into business cases and costing. • Participate and provide data architectural runway requirements into Programme Increment (PI) Planning. • Architecture Capability: Develop and oversee data architecture views ensuring alignment with enterprise architecture. • Maintain and oversee the data solution artifacts in enterprise repository and knowledge portals. • Manage the data architecture processes based on requirements for each architype. • Manage change impact of the data architecture with stakeholders. • Develop and participate in the build of the data architecture practice. • Manage the data architecture considering business, application, information/data, and technology viewpoints. • Establish, enforce and implement data standards, guardrails, frameworks, and patterns. • Solution Design: Lead and review logical and detailed data architecture. • Evaluate and approve data solution options and technology selections. • Select appropriate technology, tools, and build for the solution. • Oversee and maintain the data solution blueprints. • Drive incremental modernisation initiatives in the delivery area. • Risk, Governance and Compliance: Identify, assess and mitigate risks at a data solution architecture level. • Ensure and enforce compliance with policies, standards, and regulations. • Lead data architecture reviews and integrate with governance functions. • Implementation and Collaboration: Establish and provide data solution architectures and tools to delivery and data engineering teams. • Lead and facilitate collaboration with delivery teams to achieve architecture objectives. • Manage and resolve deviations and ensure up-to-date data solution design documentation. • Communication and Knowledge Sharing: Communicate and advocate up-to-date data solution architecture views. • Ensure IT teams are well-informed and trained in architecture requirements. • Foster collaboration between data architects, data engineers, and other IT teams through regular cross-functional meetings and agile ceremonies.
• Matric • Degree or diploma in Information Technology, Computer Science, Engineering OR relevant diploma / degree • Experience: Requires a minimum of 5 years in a technical/solution design role and a minimum of 7 years relevant IT experience • Data Experience: Required a minimum of 7 years related experience in data engineering, data modeling and design and data management and governance • Big Data and Analytics (e.g., Hadoop, Spark) • Data Warehousing (e.g., DataBricks, Snowflake, Redshift) • Master Data Management (MDM) • Data Lakes and Data Mesh • Metadata Management • ETL/ELT Processes • Data Privacy and Compliance Cloud Data Services
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