Data Digital AI Architect
remote
Long Term
Contract to Hire
Data Digital Architect is responsible for designing, developing, and governing enterprise grade Digital solutions that align with business strategy. This role blends deep technical expertise in Digital, Data, Cloud, and artificial intelligence architecture with strong product intuition, security awareness, and leadership. The Data Digital Architect ensures that Digital initiatives are scalable, ethical, secure, cost efficient, and integrated into the broader enterprise ecosystem.
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Key Responsibilities
1. Digital & Enterprise Architecture
• Define target state digital architecture across application, data, integration, cloud, and security layers.
• Create architecture roadmaps, technology blueprints, and modernization strategies.
• Lead API strategy, microservices design, and event driven architecture.
2. Data Architecture & Governance
• Design and optimize databases, data warehouses, and data lakes (e.g., Databricks, Snowflake, BigQuery, Redshift).
• Define and Understand Master Data Management, data models, metadata management, lineage, and governance frameworks.
• Ensure data quality, integrity, scalability, and compliance (PCI, PII, etc.).
3. Cloud Architecture & Platforms
• Lead cloud application build, migration and architecture on Azure, AWS, or GCP, including landing zones, networking, IAM, and cost optimization.
• Implement cloud native patterns: serverless, containers, microservices.
4. Integration, Security, & API Strategy
• Design integration patterns (REST, GraphQL, messaging, event streaming).
• Govern API lifecycle and enforce reusable service interfaces.
• Knowledge, background, understanding of fundamental security concepts including data encryption, AuthN/AuthZ, SSO, and managed identities.
5. Technical Leadership & Delivery
• Provide solution architecture for complex initiatives.
• Run POCs, evaluate technologies, and guide engineering teams.
• Collaborate with product, security, compliance, and business stakeholders.
6. Analytics, AI & Digital Enablement
• Architect data platforms supporting BI, ML/AI, and real time analytics.
• Ensure digital systems support omnichannel, ecommerce, or enterprise workflows.
• Knowledge of multi-agent workflows (planner/supervisor + specialist agents) with explicit state management and routing, and interoperability via emerging agent protocols (MCP for tool integration, A2A for agent-to-agent delegation) designed for non-deterministic behavior and real operational constraints.
Required Skills & Competencies
Technical Skills
• Cloud computing (AWS/Azure/GCP)
• MDM, Data modeling, warehousing, lakehouse, ETL/ELT
• API design, microservices, event driven architecture
• Cybersecurity, IAM, compliance frameworks
• DevOps, CI/CD, containerization
• Database management (SQL/NoSQL)
• Modern digital platforms (CMS, PIM, DAM, ecommerce)
Soft Skills
• Strategic thinking & problem solving
• Communication with technical & non technical stakeholders
• Leadership & cross functional collaboration
• Project and time management
Typical Background & Qualifications
• Bachelor’s or Master’s in Computer Science, IT, Engineering, or related field.
• 7–10+ years in data engineering, architecture, digital platform roles.
• Certifications (preferred):
o Azure/AWS/GCP Architect
o TOGAF
o Data governance or security certifications (CISM, CISSP, DAMA)
Munesh
770-838-3829,
CYBER SPHERE LLC
