Senior Staff Engineer - Data Integration
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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior specialized role with metro location and broad platform skills yields moderate competition.
Core data integration and Azure platform skills transfer across industries, but enterprise retail domain knowledge increases specificity.
Explicit 14+ years, leadership expectations, and specific Azure/integration tech requirements create high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead data and analytics strategy, architecture, and technical direction for Global Stores & Supply Chain across a $50B+ retail ecosystem.
Design and deliver scalable data integration platforms and pipelines on Azure, ensuring data quality, security, scalability, and performance.
Drive adoption of Gen AI and Agentic AI technologies to enhance analytics, automation, and decision-making, and lead cross-functional initiatives from concept to delivery.
Minimum Requirements
Bachelor’s Degree or equivalent engineering skillset/work experience in relevant technical domain.
14+ years development experience with medium to large bespoke software solutions in Agile environments (Scrum/Kanban/SAFe).
Hands-on experience with data integration technologies including Dell Boomi, APIGEE, Kafka, Azure Data Factory, MIA, and strong SQL skills.
Work Experience Required: 14+ years; Location Requirement: APAC Home Office Hyderabad, India.
Ideal Candidate Profile
Experienced in leading complex technical design and strategic initiatives in medium to large-scale data integration projects.
Strong technical leadership skills with ability to influence architecture decisions and mentor teams in a fast-paced, global retail IT environment.
Proven capability to bridge business needs with technical solutions especially in modern data platforms and AI-driven analytics.