Position: Data Architect - Big Data & Analytics

Location: Onsite- Toronto, ON

Job type: Full time/Permanent hiring

We are seeking a visionary Enterprise Data Architect with over 14 years of experience to lead the architecture, optimization, and long-term modernization of our global Big Data platforms.

In this high-impact role, you will own the end-to-end design of large-scale distributed architectures supporting analytics, reporting, and AI workloads. You will serve as the premier technical authority driving cluster optimization, ironclad security governance, and the strategic migration path toward next-generation data platforms.

Key Responsibilities

- End-to-End Platform Architecture: Define the technical blueprint for enterprise-scale Hadoop ecosystems using HDFS, YARN, Spark, Kafka, and Hive.
- Modernization & Migration Planning: Architect migration blueprints, High-Level Designs (HLD), and Low-Level Designs (LLD) to transition legacy data estates into modernized, cloud-ready configurations.
- Data Lake & Streaming Governance: Design structured data lake zones, data models, real-time streaming architectures (Kafka), and automated ETL/ELT pipelines with robust metadata lineage.
- Security & Regulatory Compliance:



Implement rigorous enterprise security layers, handling authentication, encryption, auditability, and access control frameworks (Kerberos, Apache Ranger) tailored for highly regulated domains (BFSI).
- Technical Governance & Solutioning: Conduct comprehensive architecture reviews, direct capacity planning, drive performance tuning, support RFP responses, and establish engineering best practices.

Required Technical Skill Set

- Hadoop Core: Expert-level understanding of Hadoop platform internals (HDFS storage, YARN resource allocation, High Availability, and MapReduce).
- Distributed Computing Engine: Advanced hands-on mastery of Spark, PySpark, Hive, and HBase utilizing Python, Java, or Scala .
- Streaming Architecture: Enterprise deployment experience with Kafka for real-time ingestion pipelines.
- Security Governance Frameworks: Complete implementation familiarity with Kerberos and Apache Ranger .
- Enterprise Frameworks: Proven background building reusable data frameworks, managing DataOps, ensuring metadata tracking, and maintaining strict regulatory resilience.

📌 Data Architect - Big Data & Analytics (Ontario)
🏢 Ku0026K Global Talent Solutions
📍 Ontario