Data & Analytics Solutions Architect
- Toronto, ON
- On-site
- Posted Oct 9, 2026
- 1 position
Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Lead · 14+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Design and deliver enterprise-scale Big Data and Data Lake architectures, modernize data platforms, and support data engineering and analytics/AI solutions. Address data governance, security, and performance optimization.
Job details
Data & Analytics Solutions Architect – Toronto, ON (Onsite) Looking for a 14+ years experienced Data Architect with strong expertise in Hadoop, HDFS, YARN, Spark/PySpark, Kafka, Hive, SQL, Python/Java/Scala. The role focuses on Big Data/Data Lake architecture, platform modernization, data engineering, governance, security, performance optimization, and enterprise-scale analytics/AI solutions. BFSI experience is preferred.
What you’ll do
Design and deliver enterprise-scale Big Data and Data Lake architectures, modernize data platforms, and support data engineering and analytics/AI solutions. Address data governance, security, and performance optimization.
Requirements
Requires 14 or more years of experience as a Data Architect and strong expertise in Hadoop, HDFS, YARN, Spark/PySpark, Kafka, Hive, SQL, and Python, Java, or Scala. BFSI experience is preferred.
Listed skills
- SQL · Preferred
- Java · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Architecture
- Hadoop
- HDFS
- YARN
- Spark
- PySpark
- Kafka
- Hive
- SQL
- Python
- Java
- Scala
- Big Data
- Data Lake Architecture
- Data Engineering
- Data Governance
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
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