Data Digital AI Architect

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 Google Cloud Platform, 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/Google Cloud Platform)
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/Google Cloud Platform Architect
o TOGAF
o Data governance or security certifications (CISM, CISSP, DAMA)

Munesh

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CYBER SPHERE LLC