Job Description

Senior Azure Solution Architect/Engineering Lead

Core Skills: Azure Databricks, PySpark, Spark, SQL, Azure Synapse, Kafka, Big Data, Python, Java, Azure Data Factory (ADF)

Professional Summary

Senior 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. Solid 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 Expertise

Cloud & 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 Gen2

Big 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 architectures

Programming & 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
Robust Expertise in Azure, Databricks, Python, Pyspark, SparkSQL, CI-CD (Jenkins, Github), Obs (Dynatrace),
Positive to have : Java, Kafka , Casandra, Microservices, API, Flink, ZeroMQ, Protocol Buffers
Experience in recruiting , people leadership for managing team of 40+ , govern delivery and als

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