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Netezza Developer Jobs in Ontario (NOW HIRING)

BMO Capital Markets

Data Engineer

Toronto, ON · Hybrid

CA$61K - CA$113K/yr

DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives ... AWS, Azure), Hadoop, Netezza * Experience with structured, semi structured and unstructured ...

BMO Capital Markets

Data Engineer

Toronto, ON · Hybrid

CA$61K - CA$113K/yr

DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives ... AWS, Azure), Hadoop, Netezza * Experience with structured, semi structured and unstructured ...

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Netezza Developer information

What is a Netezza developer?

Netezza Developers are IT professionals who specialize in working with IBM Netezza, a high-performance data warehouse appliance. They are responsible for designing, developing, and optimizing data models, ETL processes, and SQL queries within Netezza environments. Their work ensures efficient data storage, retrieval, and analysis to support business intelligence and analytics initiatives. Netezza Developers often collaborate with data architects, analysts, and other stakeholders to deliver scalable data solutions. They also troubleshoot performance issues and ensure the security and integrity of data.

What are the key skills and qualifications needed to thrive as a Netezza developer?

To thrive as a Netezza Developer, you need expertise in SQL, data warehousing concepts, and experience with IBM Netezza or similar data appliance platforms, often supported by a degree in computer science or related fields. Proficiency with Netezza-specific tools, ETL processes, and knowledge of performance tuning and scripting languages such as Shell or Python are typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and address complex data issues efficiently. These skills ensure optimized database solutions, seamless data integration, and reliable analytics within enterprise environments.

What are some common challenges faced by Netezza developers when optimizing large-scale data queries?

Netezza Developers often encounter challenges related to query performance, especially when handling large volumes of data. Common issues include inefficient SQL queries, improper distribution keys, and suboptimal use of Netezza-specific features like zone maps. Troubleshooting these challenges typically involves analyzing query plans, adjusting table structures, and collaborating closely with data architects and DBAs. Staying updated with best practices and working as part of a cross-functional data team are key to ensuring efficient data processing and robust solutions.

What is the difference between Netezza Developer vs SQL Developer?

AspectNetezza DeveloperSQL Developer
Primary FocusDesigning and maintaining Netezza data warehouse solutionsDeveloping, testing, and maintaining SQL queries and database applications
Required SkillsProficiency in Netezza, SQL, ETL processes, data modelingStrong SQL skills, database design, query optimization, scripting
Work EnvironmentData warehousing, analytics, large-scale data processingDatabase development across various platforms, application integration
CertificationsOften Netezza-specific or general data warehousing certificationsSQL certifications, database management certifications

While both roles require strong SQL skills, Netezza Developers specialize in Netezza data warehouse solutions, focusing on data modeling and large-scale data processing. SQL Developers have a broader scope, working across different database systems to develop and optimize SQL queries and applications.

What are popular job titles related to Netezza Developer jobs in Ontario?

For Netezza Developer jobs in Ontario, the most frequently searched job titles are:

What are popular job titles related to Netezza Developer jobs in ON?

For Netezza Developer jobs in ON, the most frequently searched job titles are:

Netezza Developer jobs near you
Infographic showing various Netezza Developer job openings in Ontario as of September 2026, with employment types broken down into 70% Full Time, 12% Part Time, and 18% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Databricks Architect (Cloud, Data & AI)

Brampton, ON • On-site

KData Inc.
See more jobs at KData Inc.external

Other

Posted 4 days ago

Job description

We are seeking aDatabricks Architectto lead the vision, design, and execution of large-scale, enterprise-grade Databricks Lakehouse architectures across multi-cloud and hybrid environments. In this role, you will advise executive leadership (CIOs/CTOs), drive pre-sales and technical solution design, and lead hands-on architecture for modern data and GenAI platforms.

The ideal candidate brings 12+ years of technology experience, combining deep technical expertise in Databricks, multi-cloud strategy (AWS, Azure, GCP), TOGAF governance, data virtualization, and hands-on experience guiding enterprise modernization initiatives.

Key Responsibilities

  • Lead architectural design and hands-on technical oversight forDatabricks Lakehouse, Delta Lake, streaming pipelines, and AI-ready platforms.
  • Define enterprise infrastructure reference architectures spanning cloud networking, compute, storage, security, observability, platform resiliency, disaster recovery, and compliance.
  • Build end-to-end multi-cloud data integration layers and dynamic pipelines connecting legacy systems, cloud data lakes, and modern AI/ML frameworks.
  • Establish governance models, architecture guiding principles, and standard frameworks (e.g., TOGAF) for enterprise platforms.
  • Drive data virtualization and semantic layer strategies to streamline business intelligence and self-service analytics.
  • Serve as a trusted advisor to C-suite executives and CIOs on cloud modernization, data platform resiliency, cost optimization, and AI-enabled operational transformations.
  • Partner with Sales and Account teams on pre-sales activities, RFP responses, solution design, and high-value deal shaping.
  • Conduct discovery workshops, present technical blueprints (SAD, DDD), and defend technical solutions to enterprise clients.
  • Architect solutions incorporating Generative AI, automated document parsing/reformatting pipelines, advanced analytics, and machine learning models within the Databricks ecosystem.
  • Oversee migrations from legacy databases/Big Data infrastructure (Hadoop, Oracle, Cloudera, Netezza) to modern cloud-native Lakehouses (AWS, Azure, GCP) using structured acceleration frameworks (e.g., AWS MAP).
  • Establish robust security controls, encryption protocols, enterprise authentication mechanisms (Unity Catalog, Kerberos), and performance tuning for high-throughput environments.
Requirements

Required Qualifications & Experience

  • Experience:12+ years of technology experience in Enterprise Infrastructure, Data Engineering, Multi-Cloud Architecture, and AI Strategy.
  • Databricks Expertise:Strong hands-on architectural experience with Databricks Lakehouse, Delta Lake, Spark, Unity Catalog, and AI/ML integrations.
  • Multi-Cloud Expertise:Proven track record architecting and deploying solutions across AWS, Azure, and GCP platforms.
  • Legacy Modernization:Solid background transitioning traditional database/Hadoop environments (Oracle RAC/ASM, Cloudera/Hortonworks, Netezza, HBase) into cloud-native architectures.
  • Domain Exposure:Architecture experience supporting industries such asHealthcare, Insurance & Risk, Banking & Finance, Media, Retail, or Life Sciences.

Technical Stack & Skills

  • Observability, Operations & Tools:Grafana, SumoLogic, Git/GitStash, Jira, Bamboo, DB Visualizer.
  • Languages & Scripting:Python, SQL, PL/SQL, Unix Shell Scripting, Perl Scripting.

Education

  • Master’s or Bachelor’s degree in Business Administration, Computer Science, Software Engineering, or a related technical discipline.
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