Data & Analytics Solutions Architect
- Toronto, ON, Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Apply by
- Experience
- 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
- Posting language
- English
- Posted
Original job description
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.
- 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.
- 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.
More about this job
Responsibilities
Design and implement large-scale data platforms, data lakes, and distributed processing solutions for analytics, reporting, and AI workloads. Define architecture and migration plans, provide technical governance, and support modernization, cloud adoption, production readiness, and performance optimization.
Requirements
Requires 14 or more years of experience in enterprise data architecture, Hadoop, big data engineering, and data platform modernization, with hands-on expertise across Hadoop ecosystem technologies and programming languages. Candidates should also have experience with data engineering, governance and security controls, architecture documentation, platform modernization, and BFSI regulatory requirements; relevant certifications are preferred.
Skills
- Enterprise Data Architecture
- Hadoop
- HDFS
- YARN
- Hive
- Spark
- PySpark
- Kafka
- SQL
- Python
- Java
- Scala
- Big Data Engineering
- Data Lake Architecture
- Data Governance
- ETL/ELT
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
Keywords
- Enterprise Data Architecture
- Hadoop Ecosystem
- Big Data Engineering
- Data Platform Modernization
- Hadoop
- HDFS
- YARN
- Hive
- Spark
- PySpark
- Kafka
- SQL
- Python
- Java
- Scala
- Data Lakes
- Data Warehousing
- ETL/ELT
- Data Integration
- Data Quality
- Metadata Management
- Data Lineage
- DataOps
- Data Governance
- Kerberos
- Ranger
- Encryption
- MapReduce
- HBase
- BFSI