Data Digital AI Architect Location-Remote @TX-Duration Contract to Hire

Data Digital AI Architect Location-Remote @TX-Duration Contract to Hire

Posted 3 days ago by Cyber Sphere LLC

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Negotiable
Undetermined
Remote
Remote
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Amazon Web Services (AWS) API Design Application Programming Interface (API) Artificial Intelligence AWS Identity And Access Management (IAM) Azure Databricks BigQuery Business Strategies Certified Information Systems Security Professional (CISSP) Cloud Computing Cloud Technology Computer Science Continuous Integration and Continuous Delivery Cyber Security Data Architecture Database Activity Monitoring Database Management Databricks Data Encryption Data Engineering Data Governance Data Lakes Data Management Datamodel Data Modeling Data Quality DevOps Digital Architecture Digital Systems Encryption Google Cloud Google Cloud Platform (GCP) GraphQL Interoperability Management Master Data Management Metadata Microservices Microsoft Azure Scalability Security Awareness Single Sign-On (SSO) Snowflake (Data Warehouse) Solution Architecture Stakeholder Management Strategic Thinking System Support Time Management Workflows

Summary: The Data Digital AI Architect is responsible for designing and governing enterprise-grade digital solutions that align with business strategies, leveraging expertise in digital, data, cloud, and AI architecture. This role requires a blend of technical skills and leadership to ensure digital initiatives are scalable, secure, and integrated into the enterprise ecosystem. The architect will lead various aspects of digital and data architecture, cloud platforms, and integration strategies. The position is remote and is a contract-to-hire opportunity.

Key Responsibilities:

  • 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.
  • Design and optimize databases, data warehouses, and data lakes.
  • Define and understand Master Data Management, data models, metadata management, lineage, and governance frameworks.
  • Ensure data quality, integrity, scalability, and compliance.
  • Lead cloud application build, migration, and architecture on Azure, AWS, or Google Cloud Platform.
  • Implement cloud-native patterns: serverless, containers, microservices.
  • Design integration patterns and govern API lifecycle.
  • Provide solution architecture for complex initiatives.
  • Run POCs, evaluate technologies, and guide engineering teams.
  • Collaborate with product, security, compliance, and business stakeholders.
  • Architect data platforms supporting BI, ML/AI, and real-time analytics.
  • Ensure digital systems support omnichannel, ecommerce, or enterprise workflows.

Key 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)
  • Strategic thinking & problem solving
  • Communication with technical & non-technical stakeholders
  • Leadership & cross-functional collaboration
  • Project and time management

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Title - Data Digital AI Architect

Location-Remote @TX

Duration Contract to Hire

Overview
The 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.

  1. 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)

Regards,

Sai Srikar

Email:

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