columbus lead azure databricks Jobs – 13 Openings This Week

Staff Data Engineer/Data Architect (Azure/Databricks)
Spirit Omega Inc. —Oshawa, ON
- $75.98–$92.58 an hour
- Contract
- Hybrid work
- Computer science
- Azure
- Computer Science
5d
Staff Data Engineer / Data Architect (Azure / Databricks)
Raise —Oshawa, ON
- Contract
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick apply
5d
Senior Microsoft Azure and Databricks Architect
Adastra Corporation —Markham, ON
- Full-time
- Hybrid work
- Azure
- Financial services
- Analytics
Lead Data Scientist - R&D
Mastercard —Toronto, ON
- $127,000–$203,000 a year
- Full-time
- Azure
- SQL
- Machine learning
Director, Data & Analytics
Xplore Inc —Markham, ON
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Sales
Quick apply
Director, Data Platform - Data Warehousing & Engineering
Questrade Financial Group —Toronto, ON
- Full-time
- Hybrid work
- Computer science
- Azure
- Management
Quick apply
Data and AI Engineering Manager - Core Digital Products
Sanofi —Toronto, ON
- $125,300–$208,800 a year
- Azure
- Computer Science
- DevOps
Software Engineer
Scotiabank —Toronto, ON
- Microsoft Excel
- Azure
- DevOps
- Tuition reimbursement
Data Privacy Architect
Capgemini —Toronto, ON
- $42.35–$66.18 an hour
- Contract
- Hybrid work
- Azure
- Dental care
- Vision care
Analyst, Databases
Reliance Home Comfort —Toronto, ON
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick apply
Enterprise Data Architect - EDAAS
NavitasPartners —Oshawa, ON
- From $30 an hour
- Azure
- Computer Science
- AWS
Quick apply
11d

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Lead, Data Engineer
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McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or…
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Senior Data Engineer ( Databricks / Financial sector)
Talent To Hire Inc. —Toronto, ON
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Staff Data Engineer/Data Architect (Azure/Databricks)

Spirit Omega Inc.
Oshawa, ON

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Job details

Contract
5 days ago

Skills

Computer science
Power BI
Data modeling
Azure
Computer Science
Kanban
Engineering
SQL
Machine learning
Business requirements
Data warehouse

Full job description

Number of Vacancies: 2

Contract Duration: 12 Months

Hours of work: 35 hours

Location: Oshawa, ON (Hybrid – 2 days in office/3 days remote)

Resume Due Date: Wednesday, June 17th, 2026 (5:00PM EST)

Job Overview

As a Staff Data Engineer/Data Architect, you will be responsible for leading the architecture, design and delivery of scalable data pipelines and data products which enable innovative, customer-centric digital experiences. You will be working as part of a cross-discipline agile team who helps each other solve problems across all business areas. You will be a thought leader and subject matter expert on the data lakehouse, data warehousing and modeling activities for the team and use your influence to ensure that the team produces best-in-class data solutions that leverage repeatable, maintainable, and well-documented design patterns. You will employ best practice in development, security, accessibility and design to achieve the highest quality of service for our customers.
Lead the architecture, design and oversee implementation of modular and scalable data ELT/ETL pipelines and data infrastructure leveraging the wide range of data sources across the organization
Design curated common data models that offer an integrated, business-centric single source of truth for business intelligence, reporting, and downstream system use
Work closely with infrastructure and cyber teams to ensure data is secure in transit and at rest
Create, guide and enforce code templates for delivery of data pipelines and transformations for structured, semi-structured and unstructured data sets
Develop modeling guidelines that ensure model extensibility and reuse by employing industry standard disciplines for building facts, dimensions, bridge, aggregates, slowly changing dimensions and other dimensional and fact optimizations
Establish standards database system fields, including primary and natural key combinations that optimize join performance in a multi-domain, multiple subject area physical (structured zone) and semantic model (curated zone)
Ensure model extensibility by employing industry standard disciplines for building facts, dimensions, bridge, aggregates, slowly changing dimensions and other dimensional and fact optimizations
Transform data and map to more valuable and understandable semantic layer sets for consumption, transitioning from system-centric language to business-centric language
Collaborate with business analysts, data scientists, data engineers, data analysts and solution architects to develop data pipelines to feed our data marketplace
Introduce new technologies to the environment through research and POCs, and prepare POC code designs that can be implemented and productionized by developers
Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power BI
Work within the agile SCRUM work management framework in delivery of products and services, including contributing to feature & user story backlog item development, and utilizing related Kanban/SCRUM toolsets
Document as-built architecture and designs within the product description
Design data solutions that enable batch, near-real-time, event-driven, and/or streaming approaches depending on business requirements
Design & advise on orchestration of data pipeline execution to ensure data products meet customer latency expectations, dependencies are managed, and datasets are as up-to-date as possible, with minimal disruption to end-customer use
Ensure that designs are implemented with proper attention to data security, access management, and data cataloging requirements
Approve pull requests related to production deployments
Demonstrate solutions to business customers to ensure customer acceptance and solicit feedback to drive iterative improvements
Assist in troubleshooting issues for datasets produced by the team (Tier 3 support), on an as-required basis
Guide data modelers, business analysts and data scientists in the build of models optimized for KPI delivery, actionable feedback/writeback to operational systems and enhancing the predictability of machine learning models and experiments

Qualifications

Requires an extensive knowledge in designing a data model to solve a business problem, specifying a data pipeline design pattern to bring data into a data warehouse, optimizing data structures to achieve required performance, designing low-latency and/or event-driven patterns of data processing, creation of a common data model to support current and future business needs.
This knowledge is considered to be normally acquired through the completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning.
Experience guiding data lake ingestion and data modeling projects in a cloud environment (Azure & Databricks)
Experience in modeling relational and in-memory models with star/snowflake schemas
Experience with designing and implementing event-driven (pub/sub), near-real-time, or streaming data solutions, involving structured, semi-structured and unstructured data across various platforms
6-8 years experience in data modeling, data warehouse design, and data solution architecture in a Big Data environment is considered necessary to gain this experience

Spirit Omega is committed to a diverse and inclusive workplace. We welcome applications from anyone, including members of Indigenous peoples, Women, visible minorities, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities.

Looking for more opportunities? Check out our website at jobs.spiritomega.com

#INDSPO

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lead azure databricks jobs in columbus

Staff Data Engineer/Data Architect (Azure/Databricks)

Staff Data Engineer / Data Architect (Azure / Databricks)

Senior Microsoft Azure and Databricks Architect

Lead Data Scientist - R&D

Director, Data & Analytics

Director, Data Platform - Data Warehousing & Engineering

Data and AI Engineering Manager - Core Digital Products

Software Engineer

Data Privacy Architect

Analyst, Databases

Enterprise Data Architect - EDAAS

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