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Location
In office (Bengaluru)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Weekday scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.
Backed by Y Combinator

This role is for one of Weekday’s clients

Min Experience: 14+ years

Location: Bengaluru

JobType: full-time

We are seeking an experienced and hands-on Enterprise Architect to lead the organisation’s enterprise architecture and digital transformation initiatives. Reporting to the Chief Information Officer (CIO), this role will be responsible for defining the technology vision, developing enterprise-wide architecture strategies, and driving large-scale transformation programmes. The ideal candidate will bring a strong combination of enterprise architecture expertise, implementation experience, data and AI strategy, and the ability to influence senior business and technology stakeholders.

Requirements

Key Responsibilities

  • Define and drive the enterprise architecture strategy, technology roadmap, and transformation vision across ERP, CRM, Manufacturing Execution Systems (MES), Programmable Logic Controllers (PLC), Operational Technology (OT), data, and AI.
  • Lead large-scale digital transformation, technology modernisation, and enterprise implementation programmes from strategy and planning through execution and adoption.
  • Take ownership of technology implementations, ensuring that architecture decisions translate into successful execution and measurable business outcomes.
  • Develop and champion an AI-native, data-led transformation strategy by identifying opportunities to integrate AI, analytics, and data engineering into business processes and decision-making.
  • Provide technology thought leadership by evaluating emerging technologies, challenging legacy approaches, and recommending scalable, future-ready solutions.
  • Drive alignment between business and technology teams through effective communication, stakeholder engagement, and the ability to influence decisions without relying solely on formal authority.
  • Partner with the CIO and business leadership to translate organisational priorities into technology strategies, enterprise architecture frameworks, and actionable transformation roadmaps.
  • Ensure effective integration across enterprise applications, industrial systems, operational technologies, and data platforms.

Required Skills and Experience

  • 14-22 years of experience in enterprise architecture, digital transformation, and technology modernisation, preferably within manufacturing or automotive environments.
  • Strong expertise across enterprise technology platforms, including SAP, CRM, MES, PLC/OT, data science, data engineering, and AI.
  • Proven experience in personally owning and delivering complex enterprise transformation programmes, beyond architecture design and advisory responsibilities.
  • Strong understanding of industrial and manufacturing technology landscapes, particularly the integration of IT, OT, data platforms, and enterprise systems.
  • Demonstrated ability to define technology strategies, build long-term visions, and provide thought leadership at an organisational level.
  • Strong stakeholder management and leadership-by-influence capabilities, with the ability to secure alignment and buy-in across business and technology teams.
  • Excellent communication, articulation, and executive presence, along with a growth-oriented and outcome-focused mindset.
  • A strong focus on data-led decision-making and AI-driven business transformation.

Must-Have Skills

  • SAP
  • Manufacturing Execution Systems (MES)
  • Customer Relationship Management (CRM)

Good-to-Have Skills

  • Product Lifecycle Management (PLM)
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