The ideal candidate should have strong hands-on experience delivering cloud-based data engineering solutions on AWS or Azure, with Snowflake as a mandatory skill. The role requires expertise in modern data architectures, including data lakes, lakehouses, data warehouses, ETL/ELT pipelines, SQL, Python, Spark/PySpark, and orchestration tools such as Airflow, Azure Data Factory, or AWS Glue.

Candidates should have experience implementing data governance capabilities, including data quality, metadata management, data lineage, MDM, data cataloging, security, privacy, and regulatory compliance.

Exposure to AI/GenAI is required, including enterprise use cases involving LLMs, Retrieval-Augmented Generation (RAG), AI-assisted analytics, vector databases, prompt engineering, semantic search, and AI governance.

The role involves leading end-to-end delivery of enterprise data programs, driving cloud modernization initiatives, defining engineering standards, and managing cross-functional teams. Experience in architecture, stakeholder management, Agile delivery, mentoring teams, and supporting pre-sales/solutioning is essential.

Required Qualifications:

• 12+ years of experience in Data Engineering, Data Platforms, or Analytics Engineering.
• Minimum 5 years of experience leading large technical teams and enterprise delivery.
• Proven experience delivering cloud-based data engineering projects on AWS or Azure.
• Strong knowledge of Snowflake,



up-to-date data engineering practices, governance, and AI/GenAI.
• Excellent communication, stakeholder management, leadership, and problem-solving skills.
• Candidates should have experience implementing data governance capabilities, including data quality, metadata management, data lineage, MDM, data cataloging, security, privacy, and regulatory compliance.
• Exposure to AI/GenAI is required, including enterprise use cases involving LLMs, Retrieval-Augmented Generation (RAG), AI-assisted analytics, vector databases, prompt engineering, semantic search, and AI governance.
• The role involves leading end-to-end delivery of enterprise data programs, driving cloud modernization initiatives, defining engineering standards, and managing cross-functional teams. Experience in architecture, stakeholder management, Agile delivery, mentoring teams, and supporting pre-sales/solutioning is essential.

Required Qualifications:

• 12+ years of experience in Data Engineering, Data Platforms, or Analytics Engineering.
• Minimum 5 years of experience leading large technical teams and enterprise delivery.
• Proven experience delivering cloud-based data engineering projects on AWS or Azure.
• Strong knowledge of Snowflake, modern data engineering practices, governance, and AI/GenAI.
• Excellent communication, stakeholder management, leadership, and problem-solving skills.

📌 Senior Data Engineer (Uttar Pradesh)
🏢 PwC India
📍 Uttar Pradesh