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Unlocking Business Potential with Data Architecture
2 weeks ago
Unlocking Business Potential with Data Architecture
\We are seeking an experienced Data Architect to design and implement scalable, secure, and interoperable data architectures and API integration frameworks that support advanced AI and ML workloads across the enterprise.
\This role involves working closely with the AI architecture, security, platform, and business teams to ensure seamless data movement, governance alignment, and real-time system interoperability for serving as the bridge between distributed data systems, cloud services, and AI-enabled applications.
\The ideal candidate will have a strong background in data architecture, system integration engineering, and experience in designing integration flows for large-scale, real-time systems across cloud and legacy environments.
\Key Responsibilities:
\- \
- Design, build, and implement enterprise-wide data and API integration frameworks to support AI/ML platforms across hybrid cloud and on-premise environments\
- Work with system owners and data domain leads to design and deliver scalable end-to-end data flows across operational, analytical, and AI systems\
- Define and develop secure, reusable API interfaces (REST, GraphQL, event-driven) and data interface (batch or streaming) that enable seamless interoperability between internal systems and AI services\
- Oversee and evaluate new data integration approaches and pipeline designs to ensure efficient, secure, and scalable data flow between data sources and AI platforms\
- Collaborate with Security and Data Governance teams to ensure integration designs align with compliance, privacy, and policy requirements\
- Implement and maintain integration middleware and tooling (e.g. Kafka, Azure ML/Foundry, Databricks, etc) to support data orchestration, synchronization, and reliability\
- Contribute integration expertise to data or AI experimentation, PoCs, and platform upgrades, ensuring architectural consistency and production-readiness\
- Define and enforce data and integration design standards, focusing on scalability, resilience, observability, and system decoupling\
- Work closely with business units, IT, and Networks to align integration plans with enterprise priorities and ensure successful data exchange across functional boundaries\
- Develop and maintain documentation of integration designs, configurations, and deployment processes\
- Maintain up-to-date knowledge of emerging technologies and industry trends related to data architecture and integration\\
