Engineering Lead/Azure Solution Architect

Senior Azure Solution Architect/Engineering LeadCore Skills: Azure Databricks, PySpark, Spark, SQL, Azure Synapse, Kafka, Big Data, Python, Java, Azure Data Factory (ADF)Professional SummarySenior Data Architect with 15+ years of experience designing, building, and scaling enterprise-grade data platforms. Proven expertise in cloud-native big data architectures on Azure, real-time and batch data processing, and high-performance analytics systems. Strong background in data modeling, distributed computing, and end-to-end data pipeline orchestration, with hands-on leadership in large-scale enterprise and mission-critical projects.Technical ExpertiseCloud & Data Platforms

• Azure Databricks (Lakehouse architecture, Delta Lake, Unity Catalog)
• Azure Synapse Analytics (Dedicated & Serverless Pools)
• Azure Data Factory (ADF) for ELT/ETL orchestration
• Azure Data Lake Storage Gen2Big Data & Distributed Processing
• Apache Spark (Core, SQL, Structured Streaming)
• PySpark performance tuning & optimization
• Apache Kafka (real-time ingestion, streaming pipelines)
• Large-scale batch and streaming data architecturesProgramming & Query Languages
• Python (advanced data engineering, automation, frameworks)
• Java (Spark internals, Kafka consumers/producers, microservices)
• SQL (complex analytics, query optimization, warehouse design)Data Architecture & Design
• Lakehouse, Lambda, and Kappa architectures
• Dimensional modeling & data warehouse design
• Data governance, security, and lineage
• Scalability, fault tolerance, and cost optimization· Technical depth in designing and building data platforms for high volume data processing with low latency· Strong Expertise in Azure, Databricks, Python, Pyspark, SparkSQL, CI-CD (Jenkins, Github), Obs (Dynatrace),· Good to have : Java, Kafka , Casandra, Microservices, API, Flink, ZeroMQ, Protocol Buffers· Experience in recruiting , people leadership for managing team of 40+ , govern delivery and also act as technical mentor to set processes to bring innovation, goals to derive business outcomes· Act as Module lead for India operations, liaise with NA teams to drive the objectivesKey Responsibilities & Achievements
• Architected and delivered enterprise-scale Azure Lakehouse platforms supporting petabyte-scale data.
• Designed real-time streaming solutions using Kafka and Spark Structured Streaming.
• Led migration of on-premise data warehouses to Azure Synapse + Databricks, improving performance and reducing cost.