Skills Required: Must to Have:
• 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
• Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
• Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.
• Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.
• 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
• Robust hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
• Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.
• Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.
• Expertise in batch and distributed data processing using Spark, Hive, HBase, and MapReduce frameworks.




• Experience building data ingestion and streaming solutions using Kafka and Hadoop ecosystem tools.
• Strong knowledge of Data Engineering practices, including ETL/ELT, data integration, data quality, metadata management, lineage, observability, and DataOps.
• Experience with Data Lake, Data Warehousing, Enterprise Data Models, Master Data, and Data Governance frameworks.
• Strong understanding of security and governance controls, including Kerberos, Ranger, encryption, privacy, auditability, compliance, and controlled data access.
• Proven experience in architecture definition, HLD/LLD creation, migration planning, technical governance, production readiness, and performance optimization.
• Experience supporting platform modernization, cloud adoption, solutioning, effort estimation, and client-facing technical discussions.
• Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.
• Preferred certifications in Hadoop, Spark, Cloud Data Engineering, Enterprise Architecture, Data Management, Security, or Big Data Platforms.

📌 Data & Analytics Solutions Architect (Toronto)
🏢 Zodiac Solutions
📍 Toronto