Data Architect

Tech Mahindra; Town of Florida, Northern (NY, KY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Benefits package

Job summary

Tech Mahindra is hiring an AI & Multi-Cloud Architecture Lead to define a cloud-agnostic, AI-enabled strategy across AWS and GCP, delivering hands-on prototypes and data pipelines for enterprise analytics and automation.

You will drive governance, establish reusable reference architectures, and mentor teams to build scalable, production-ready solutions while aligning with ServiceNow CMDB/APM and cost transparency goals.

Qualifications

• Bachelor’s degree or higher required
• 7+ years in cloud architecture or data engineering
• Experience with multi-cloud AWS + GCP architecture

Responsibilities

• Define and implement cloud-agnostic architecture patterns across AWS and GCP
• Standardize GCP governance aligned to AWS controls
• Develop reusable reference architectures for data, AI, and infrastructure
• Build POCs, pipelines, and AI integrations to accelerate adoption
• Provide hands-on support to delivery teams to enable scalable solutions
• Translate architecture into working, production-ready systems

Skills

Python

SQL

ETL/ELT pipelines

Terraform

Kubernetes

AI/ML integration

MLOps

Tools

AWS

GCP

Job description

A Bachelor’s or Higher Degree is the minimum entry required for the position

Job title : AI & Multi-Cloud Architecture Lead

Job Location : Palm Bach Florida , (Onsite )

Role Summary

Responsible for defining and advancing a cloud-agnostic, AI-enabled architecture strategy that supports enterprise analytics, automation, and operational decision-making across multi-cloud environments. This role leads architecture standards and governance across AWS and GCP while actively delivering hands-on prototypes, data pipelines, and AI integrations to accelerate adoption.

Operating as a shared services architecture function, this role both guides and demonstrates best practices—bridging strategy and execution to ensure scalable, cost-efficient, and production-ready solutions aligned with ServiceNow CMDB/APM and Apptio models.

Core Role Identity

Delivery Builds POCs, pipelines, and AI integrations

Model Shared service / enterprise enablement

Authority Influences + demonstrates (not just advises)

Key Responsibilities

• Define and implement cloud-agnostic architecture patterns across AWS and GCP
• Standardize GCP governance aligned to AWS controls
• Establish reusable reference architectures for data, AI, and infrastructure
• Promote abstraction via:
  • Containers (Kubernetes)
  • APIs
  • Infrastructure as Code (Terraform)
• Build proof-of-concept solutions to validate architecture patterns
• Develop and optimize data pipelines and integrations across systems (ServiceNow, Apptio, Jira)
• Implement AI-enabled workflows (model integration, automation)
• Provide hands‑on support to delivery teams to accelerate adoption
• Translate architecture into working, scalable solutions

3. AI Integration & MLOps Enablement

• Design and implement AI-ready pipelines (structured + unstructured data)
• Support:
  • Model integration into enterprise workflows
  • MLOps lifecycle enablement (CI/CD, monitoring, governance)
  • AI tool/vendor evaluation
• Mature organization from:
  • POCs ? Embedded AI ? Governed enterprise AI
• Architect data flows integrating:
  • ServiceNow (CMDB/APM)
  • Apptio (cost transparency)
  • Jira (delivery data)
• Address key challenges:
  • Data latency
  • Data duplication
  • Cost visibility gaps
• Enforce system‑of‑record and data ownership principles

5. Governance & FinOps (Advisory + Enablement)

• Define standards for:
  • Cloud cost optimization (FinOps)
  • AI governance and lifecycle management
  • Data quality and pipeline SLAs
• Support KPI transparency:
  • Cloud cost per application
  • Data pipeline reliability
  • AI ROI
• Guide teams while enabling them through working solutions

6. Platform Strategy & Shared Services Leadership

• Act as a central architecture leader and enabler
• Support teams through:
  • Architecture reviews
  • POC delivery
  • Design guidance
• Build reusable enterprise assets:
  • Patterns
  • Templates
  • Integration frameworks

Required Experience

• 7+ years in cloud architecture, data engineering, or infrastructure
• Proven experience in multi‑cloud environments (AWS + GCP)
• Demonstrated ability to:
  • Design architecture and deliver working solutions
  • Build data pipelines and integrations
• Strong experience with:
  • Python, SQL
  • ETL/ELT pipelines
  • Infrastructure as Code (Terraform preferred)
  • Containers (Kubernetes)
• Hands‑on experience with:
  • AI/ML integration into enterprise pipelines
  • MLOps or AI lifecycle tooling
• Experience evaluating and implementing:
  • AI platforms
  • Automation tooling

Preferred Experience

• ServiceNow CMDB/APM integration
• Experience solving:
  • Cross‑system duplication
  • Data lineage challenges
• Exposure to Generative AI integration

Success Metrics (Aligned to Your KPIs)

• Reduction in cloud cost per application
• Improvement in pipeline SLAs
• Increase in production AI‑enabled workflows
• Adoption of multi‑cloud architecture standards
• Number of successful POCs transitioned to production

The pay range for this role is$150k - $200kper annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insuranceand paid time off (including holidays, parental leave, and sick leave, as required by law). The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [e-mail]