Technical Lead - Data Engineering

Technical Lead

• Data Engineering page is loaded## Technical Lead
• Data Engineeringlocations: Puneposted on: Posted Todaytime left to apply: End Date: May 31, 2026 (30+ days left to apply)job requisition id: R
• Technical Lead
• Data Engineering- - - - - - - - - - - -**Job Title: Technical Lead – Data & AI Delivery****Experience**: 10–15 Years**Role Type:*
• Technical Leadership & Delivery Management**Role Objective**
• We are seeking a high-caliber Technical Lead to spearhead the delivery of complex Data and AI projects.
• You will convert strategic AI roadmaps into scalable production realities by blending expert data engineering with the precision and discipline of modern software engineering.**Key Responsibilities**
• Strategic Delivery Management: Lead the end-to-end lifecycle of Data/AI projects, translating business goals into actionable technical roadmaps and AI strategies.
• Architectural Excellence: Design and implement Medallion Data Lake architectures on Azure, ensuring seamless integration of structured and unstructured data.
• Hands-on Optimization: Act as the subject matter expert in Py

Spark and Databricks, directly overseeing the optimization of high-performance data pipelines and ETL/ELT patterns.

• AI Integration: Collaborate with Data Scientists to integrate models into production environments, ensuring smooth model operations and deployment.
• Governance & Security: Enforce strict data security and compliance standards.
• Technical Leadership: Guide a cross-functional squad of engineers and scientists through complex technical roadblocks, fostering a culture of excellence and continuous learning.**Technical Skills & Qualifications:****Core Tech Stack (Must-Have)**
• Languages: Expert-level

Py

Spark, Databricks, Python, SQL.

• Expertise in Azure (Azure Data Factory, Databricks, Azure Storage).
• Data Architecture: Mastery of Data Modeling, Data Warehousing, and Medallion (Bronze/Silver/Gold) patterns.
• Good understanding on

Data Ingestion Frameworks and practices.

• Databases: Snowflake, Azure Datalake , Lakehouse {delta lake}
• Understanding of LLM framework will be a plus.**AI & Machine Learning {Big Plus}:**
• Proficiency in ML/DL frameworks and the development-to-deployment lifecycle.
• Strong experience integrating AI models with Spark-based data processing.
• Experience on integration with LLM models and storage will be plus.**Integration & Infrastructure:*** ### Strong understanding of Cloud Computing and Azur services.### **Soft Skills & Leadership:**
• Communication: Ability to articulate complex technical concepts to both engineering teams and non-technical stakeholders.
• Problem-Solving: A strategic thinker with a proven track record of resolving architectural bottlenecks.
• Collaborative Leadership: Ability to motivate teams and drive initiatives forward within a fast-paced corporate environment.
• Industry Awareness: Proactive engagement with emerging trends in Data Engineering, Generative AI, and Cloud Architecture.
• Continuous Learning.**Preferred Experience**:
• Prior experience in a lead or co-lead role for Data or AI product development .
• Proven expertise in handling large-scale migrations to Azure-native data stacks.

#J-18808-Ljbffr