Senior Data Architect

Tekshapers; Toronto; Presencial; CAD 130 000 - 190 000; Tempo integral

Resumo da oferta

Tekshapers, in Toronto, seeks an experienced Senior Data Architect to lead enterprise data architecture initiatives, focusing on the Hadoop ecosystem, data platforms, and modernization efforts. You will drive architectural decisions and collaborate with clients on modernization strategies.

You will design large-scale data lake architectures to support analytics, reporting, and AI workloads while ensuring robust security and governance.

Qualificações

• 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
• Hands-on expertise with Hadoop components including HDFS, YARN, Hive, Spark, and Kafka.
• Experience designing large-scale Data Lake architectures for analytics, reporting, and AI workloads.
• Knowledge of security, governance, and compliance in data platforms.
• Proven ability to lead architecture definition, migration planning, and performance optimization.

Responsabilidades

• Design and implement enterprise data architectures for analytics and AI workloads.
• Define data governance and metadata management practices.
• Lead platform modernization and cloud adoption discussions with clients.

Conhecimentos

Data architecture

Enterprise data strategy

Big data engineering

Hadoop ecosystem

Data platform modernization

Ferramentas

Hadoop

HDFS

YARN

Hive

Spark

PySpark

Kafka

SQL

Python

Java

Scala

Descrição da oferta de emprego

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.

“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”

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