Principal Engineer

Overview

Lead data and analytics strategy for Global Stores, delivering scalable data platforms and AI-driven analytics on Azure to enable data-driven decisions across a $50B+ retail ecosystem.

What you'll do

• Define and execute the data strategy, roadmap, and architecture aligned with business objectives.
• Establish and enforce engineering best practices, design standards, and development processes.
• Evaluate emerging technologies and lead POCs to drive next-generation data and AI solutions.
• Design and deliver scalable data platforms, pipelines, and BI solutions.
• Lead cross-functional initiatives, owning epics and driving execution from concept to delivery.
• Ensure data quality, security, scalability, and performance across systems.
• Drive adoption of Gen AI and Agentic AI to enhance analytics, automation, and decision-making.
• Lead development of AI-powered analytics and reporting solutions.
• Partner with business, product, and architecture teams to translate complex requirements into technical solutions.
• Act as a trusted advisor, communicating insights effectively to non-technical stakeholders.
• Serve as a domain expert in data systems and business applications.
• Own technical roadmaps, influence IT investments, and guide enterprise data platform evolution.
• Mentor engineers, onboard new hires, and conduct technical coaching and knowledge-sharing sessions.
• Support hiring through technical interviews and talent evaluation.
• Champion DevOps and engineering excellence across teams.

What you'll need

• Bachelor's degree with 15+ years, or Master's degree with 12+ years of experience in data engineering, analytics, or business intelligence.
• Extensive experience in data-intensive environments, translating business needs into technical solutions.
• Strong expertise in Snowflake, Databricks, Pyspark, Fabric, Power BI, SQL, Oracle, Python, data modelling, and data warehousing.
• Experience with any cloud platform such as Azure, AWS, GCP, or Oracle Cloud Infrastructure (OCI).
• Hands-on experience in data management and platform development.
• Deep knowledge of data quality, governance, and advanced data architectures.
• Proven experience building and leading enterprise-scale data platforms.
• Strong knowledge of Business Intelligence systems and reporting.
• Demonstrated leadership in data engineering, warehousing, or data science domains.
• Excellent communication, influence, and stakeholder management skills.
• Strong mentoring capability and ability to work in fast-paced, complex environments.

Nice to have

• Expertise in driving AI-driven innovation in data systems, including performance, scalability, and reliability improvements.
• Strong business acumen with the ability to align data initiatives to strategic outcomes.
• Experience working across multi-cloud or hybrid environments.
• Advanced degree in AI, distributed systems, or data engineering.
• Machine Learning and AI solutions experience.
• Experience working with event driven and distributed architectures, APIs.
• Proven ability to operate effectively in ambiguous and rapidly evolving environments.

Details

• Location: Salarpuria Sattva Knowledge City, Inorbit Road, Hyderabad, India (APAC Home Office).