Senior Solutions Architect

This is the person who will spearhead a data modernization program for VASCOR Logistics (www.vascorlogstics.com) and lead a data team from India.

Essential Skills and Experience

Level: Senior executive hire.

Proven, hands-on experience is the primary requirement for this role. This role is for someone who has done this before, at comparable scale, and can show it.

Experience:

· 15+ years of professional experience, including 10+ years in senior data and cloud architecture roles.

· Has personally led, from design through cutover, the modernization of a large enterprise data estate (legacy SQL Server, SSIS, SSAS, and reporting) onto a modern cloud platform such as Microsoft Fabric or Azure.

· Deep hands-on expertise in Microsoft Fabric, Azure, Power BI, and medallion (Bronze/Silver/Gold) architecture.

· 5+ years in applied machine learning or AI, including generative-AI and agent solutions shipped to production for real users.

· Has led engineering teams of 20 or more people, including hiring and developing senior engineers.

· Has presented technical strategy to executive leadership and boards.

Also required:

· Complete fluency in English, spoken and written.

· Holds a valid U.S. visa.

Scope and Authority

Leads: the full data modernization program, from India.

Direct reports (proposed): Lead Data Engineer, Data Governance Lead, and the senior Project Coordinator/Manager. All other roles report through them.

Decides: platform design and technical standards, program priorities (including which AI use cases come first), sequencing of migration work, and build-versus-buy calls on tooling.

Escalates to: the executive sponsor for budget changes, headcount changes, and cross-department priorities.

Location:Gurugram first 6-month office based. After that in hybrid mode

Day-to-Day

· Set the technical direction for the new data platform, including how AI will run on it, and keep the design consistent across the team.

· Review and approve major designs from the Lead Data Engineer, ETL Engineers, and BI Developers before they are built.

· Own the program plan: migration phases, milestones, and sequencing in one plan.

· Run a weekly leadership meeting with the direct reports, and a monthly review of milestones, risks, and budget with the executive sponsor.

· Agree the order of migration with the business units, based on business value and data readiness, and agree with them which AI use cases come first.

· Work with the Data Governance Lead so that catalog, ownership, and access rules (and responsible-AI rules) are in place before data is released to the business.

· Represent the program to Vascor leadership and the board; explain trade-offs in plain language.

· Coach the senior hires and unblock cross-team technical disputes.

· Lead hiring for the first waves: interview and approve every senior and lead hire.

Performance Measures

· Technical approach and program plan delivered in Month 1 and signed off by the executive sponsor.

· Program milestones hit on schedule across the wave plan (environment up by Months 2-3, bulk migration in Months 4-6, validation from Month 7).

· Governance foundation (catalog, data domains, stewards) in place on the planned timeline.

· First AI use cases delivered on plan: prototypes by Months 4-6, first AI feature by Months 7-9.

· Hiring plan adherence: roles filled per wave, and quality of hires (retention and ramp time).

· Design-related rework and incidents downstream (fewer is better).

· Platform performance against design targets once live (query latency, mirroring lag, uptime).

· Leadership satisfaction and team health: direct-report retention and engagement.