Director - Data Engineering

Experience – 15+ yrs

Location – Noida (Sec- 142)

Shift – 2:30 pm to 11:30 pm

Work Mode – Work from the Office (3 Days from the office and 2 Days from Home)

We're looking for a strong engineering leader with experience in data platform engineering, data pipelines, data quality & validation, cloud infrastructure, and production operation. The ideal candidate should have experience leading 25+ member engineering teams, driving AI/automation initiatives, working in customer-facing environments, and collaborating with cross-functional and global teams. Healthcare IT experience (EMR, Epic/Cerner, HL7, FHIR, ADT) would be a strong advantage.

Key Responsibilities

• Run the CES implementation engineering team: client onboarding, data ingestion and mapping, validation, and the rest of what engineering owns in getting a health system live
• Help local QA and Analytics team within a matrixed reporting structure (dotted to workstream leaders)
• Build AI and automation into the implementation workflow, covering data mapping, test generation, failure triage, documentation, and reporting. Get the team using it and track what it actually replaces
• Reduce time-to-go-live per client through standardization, reusable templates, and self-service tooling, and report on that number
• Coach managers and senior engineers on technical judgment, execution quality, and communication with stakeholders
• Hire and retain strong engineers in a competitive market, and build a team culture around ownership and customer impact
• Turn company and client priorities into engineering roadmaps with dates and measurable outcomes, and keep short-term delivery pressure from eroding the architecture
• Work closely with Product, Program Management, Data Science, Client Success, Security, and the US engineering team, and give them an accurate read on status and risk
• Represent engineering in architecture reviews, roadmap planning, and leadership meetings
• Act as a senior Qventus leader in the India office

What We're Looking For

• Energizing leader who takes ownership of the culture and deliverables
• Experience leading engineering organizations of roughly 25 or more people, including managers or leads
• Solid background in data platform engineering: pipelines, data quality and validation, cloud infrastructure, and production operations
• Demonstrated experience automating engineering work. We will ask about something specific you built or drove that your team kept using
• Regular hands-on use of AI tools in your own work, with a realistic view of where they help and where they fall short
• Track record delivering in a customer-facing environment with hard deadlines and low tolerance for outages
• Comfortable leading teams that do not report to you directly
• Clear communicator with executives and with senior engineers

Bonus Points For

• Healthcare IT background: EMR integration, Epic or Cerner, HL7 or FHIR, ADT data
• Experience as the senior engineering leader for an India site or another regional office
• Having built self-service tooling that measurably reduced dependencies for your team
• A mix of platform engineering and implementation or professional services engineering experience