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Hyderabad · On-site · 12+ Yrs · Oct 15
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Are you looking to power the next leap in the exciting world of advanced electronics?
Responsibilities
- To be a premier technology solutions provider across the semiconductor value chain, empowering AI, high performance computing, and advanced connectivity
- Innovative portfolio built on decades of leading-edge products and solutions.
- Mission-critical strategic Partner of Choice to fabs and industry leading OEMs.
- Best-in-class operating model with excellence and consistency in performance, scalability, security, and reliability.
- The Manager, Data Engineering provides technical, delivery, and team leadership for enterprise data engineering initiatives. This role owns architecture governance, solution design oversight, project planning, execution management, engineering excellence, and end-to-end delivery of scalable, secure, and AI-ready data solutions.
- The position requires a strong technical leader who can guide architecture and design decisions, mentor engineering teams, drive delivery execution, and partner with business stakeholders to deliver modern data and analytics solutions.
- Lead architecture and design reviews, and technical discussions for data engineering initiatives.
- Define and drive engineering standards, design principles, reusable frameworks, and establish best practices.
- Provide technical leadership across Azure Data Platform, ADF, Databricks, Lakehouse Architecture, Data Integration, and Analytics solutions.
- Evaluate architectural alternatives and technology choices based on scalability, reliability, maintainability, security, and cost optimization.
- Act as the senior technical escalation point for complex engineering challenges and critical delivery decisions.
- Own end-to-end delivery of Data Engineering, Analytics, Data Platform Modernization, and AI-enablement initiatives.
- Partner with Product Owners and business stakeholders to translate business objectives into technical roadmaps and execution plans.
- Drive effort estimation, work breakdown structures, milestone planning, dependency management, and resource planning.
- Ensure delivery commitments are achieved with the expected quality, timeline, and business outcomes.
- Lead and mentor a team of Data Engineers, fostering a culture of engineering excellence, ownership, innovation, and continuous improvement.
- Build strong partnerships between business and engineering teams to ensure successful delivery outcomes.
Education
- Bachelor’s degree in technology or engineering is required.
- 12-15 years of overall experience in Data & Analytics, including 5+ years of hands-on experience with Azure data engineering technologies.
- At least 3+ years of experience in leading data engineering teams or working in similar technical lead roles.
- Strong experience in architecting and designing scalable, secure data solutions and building AI-ready data platforms.
- Strong hands-on experience with Azure Data Factory (ADF), Databricks, PySpark & SQL.
- Strong understanding of Databricks Unity Catalog and CI/CD using Azure DevOps.
- Proven experience in designing secure, scalable, and AI‑ready data solutions.
- Ability to collaborate with business and technical stakeholders to gather requirements and deliver high‑impact data solutions.
- Strong sense of ownership, accountability, and execution discipline across multiple initiatives.
- Excellent communication skills, with the ability to handle high-impact business stakeholder interactions effectively.
- Analytical thinking and judgment to evaluate complex problems and make sound architectural and design decisions considering scalability, security, and business impact.
- Strong leadership and ownership, with the ability to mentor team and drive execution excellence and continuous improvement.
- Data Engineering & Architecture - Designs and delivers scalable, secure, and AI‑ready data solutions, including batch and streaming data ingestion.
- Azure & Databricks - Strong hands‑on experience with Azure data services, ADF, Databricks, Unity Catalog, PySpark and SQL.
- Stakeholder Collaboration - Effectively partner with Business, Architecture, Data science, and Product teams to translate requirements into impactful data solutions.
- Relevant certifications in Azure, Databricks, Data Engineering, AI, or Data Governance are preferred.
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Manager Data Engineering at Qnity?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Qnity may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Manager Data Engineering role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Manager Data Engineering remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Manager Data Engineering role at Qnity?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.