Senior Data Engineer (AI Platforms)

Senior Data Engineer (AI Platforms) We are seeking an experienced Senior Data Engineer specializing in AI Platforms with 8 12 years of expertise in enterprise-scale data engineering, AI infrastructure, and advanced analytics platforms. The ideal candidate should have strong experience designing scalable cloud-native data architectures, feature stores, and high-performance pipelines that support AI/ML ecosystems. The candidate will lead large-scale data platform initiatives, mentor teams, and drive data engineering best practices across the organization. Key Responsibilities Architect and build enterprise-scale AI data platforms and feature engineering frameworks. Lead development of scalable batch and real-time data pipelines. Design cloud-native data lakehouse architectures. Optimize data infrastructure for AI/ML workloads and advanced analytics. Collaborate with Data Science, MLOps, and Platform Engineering teams. Establish data governance, lineage, security, and compliance standards. Implement orchestration, monitoring, and automation for data workflows. Drive performance tuning and cost optimization initiatives. Mentor junior engineers and define engineering best practices. Support AI/GenAI data enablement initiatives. Requirements Mandatory Skills: Strong expertise in Python, SQL, PySpark, Spark. Experience with Databricks, Kafka, Airflow, and Hadoop ecosystem. Strong cloud expertise in AWS, Azure, or GCP. Experience designing Feature Stores, Lakehouse architectures, and Distributed data systems. Knowledge of Delta Lake, Data governance, Data security, and CI/CD for data platforms. Strong experience in Real-time streaming and Data pipeline optimization. Leadership and stakeholder management experience. Preferred Skills: Experience with Snowflake, BigQuery, Redshift, and Vector Databases. Knowledge of Generative AI data infrastructure, LLM data pipelines, and MLOps integration. Familiarity with Kubernetes, Terraform, Docker, and DevOps practices. Exposure to Data Mesh architecture and Data Fabric concepts. Experience in regulated industries like BFSI or Healthcare preferred. Work Arrangements Type: Full-Time Location: Bengaluru, Karnataka, India Remote: Not specified .