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K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
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K&K Global Talent Solutions INC.

Enterprise Data Architect – Big Data & Hadoop Modernization

ON, Canada
Ontario, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 7, 2026
Posting language: English
Posted: Oct 8, 2026

Original job description

Position: Enterprise Data Architect – Big Data & Hadoop Modernization

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.

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More about this job

Responsibilities

Lead the architecture, optimization, and modernization of enterprise Hadoop platforms supporting analytics, reporting, and AI workloads. Design migration plans, data lake and streaming architectures, security governance, and data pipelines while guiding capacity planning, performance tuning, architecture reviews, and engineering practices.

Requirements

Requires over 14 years of experience and expert knowledge of Hadoop internals, including HDFS, YARN, high availability, and MapReduce. Candidates should have advanced hands-on experience with Spark, PySpark, Hive, HBase, Kafka, programming in Python, Java, or Scala, and implementation of Kerberos and Apache Ranger security frameworks.

Skills

Hadoop
HDFS
YARN
Spark
PySpark
Hive
HBase
Kafka
Python
Java
Scala
Kerberos
Apache Ranger
Data Architecture
Data Migration
Data Security

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Big Data
Hadoop
HDFS
YARN
Spark
PySpark
Hive
HBase
Kafka
MapReduce
Python
Java
Scala
Kerberos
Apache Ranger
Data Lake
Data Modeling
Real-Time Streaming
ETL/ELT
Metadata Lineage
DataOps
Cloud Migration
High-Level Design
Low-Level Design
Capacity Planning
Performance Tuning
Security Governance
Regulatory Compliance
BFSI

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