Staff Data Engineer / Principal Data EngineerAbout the Role : We are seeking a highly experienced Staff Data Engineer to lead the architecture and implementation of enterprise-scale data platforms supporting large-scale analytics, AI initiatives, and business-critical decision-making. The ideal candidate will bring deep expertise in modern data engineering, cloud technologies, data lakehouse architectures, and real-time data processing while driving technical strategy and mentoring engineering teams.Key Responsibilities : - Design and architect scalable, enterprise-grade data solutions aligned with business objectives.- Build and optimize large-scale data platforms using Snowflake, AWS, Apache Kafka, and Apache Iceberg.- Lead implementation of real-time data pipelines and event-driven architectures.- Drive data warehouse optimization, cloud cost management, and performance tuning.- Develop and enhance lakehouse, dimensional modeling, and analytics solutions.- Collaborate with senior leadership to define and execute data strategy.- Mentor senior engineers and guide architectural decision-making across teams.- Lead complex, cross-functional initiatives spanning multiple engineering groups.- Support advanced analytics, AI/ML use cases, and data governance initiatives.Required Skills & Experience :



- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.- 10+ years of hands-on experience building large-scale data platforms.- Expert-level SQL and Python programming skills.- Strong experience with Snowflake, including architecture, optimization, and cost management.- Expertise in Apache Kafka, Apache Iceberg, AWS, DBT/SQLMesh, and contemporary data stack technologies.- Proven experience designing Kimball dimensional models and star-schema data warehouses.- Hands-on experience with CI/CD pipelines, Git workflows, and data governance frameworks.- Knowledge of GDPR, PCI-DSS, and enterprise data compliance standards.- Experience working with high-volume data environments processing billions of events.- Exposure to AI/ML ecosystems, MLOps, LLM integrations, and vector databases is preferred.- Experience in cybersecurity, ad-tech, subscription-based businesses, or similar large-scale data environments is a plus.What We're Looking For : A technical leader with exceptional architecture skills, strategic thinking, and a proven ability to deliver high-impact data solutions at enterprise scale while influencing engineering teams and business outcomes. (ref:hirist.tech)

📌 Staff Data Engineer - Snowflake/AWS (Pune)
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📍 Pune