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Spatial Data jobs in Calgary, AB

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    • 2 to 5 years of experience working with spatial data, geospatial datasets, or structured data preparation workflows.
    • Strong understanding of geodatabases, SDE, SQL, spatial data management, and QA/QC.
    • Experience integrating GPS/GNSS and field survey data with GIS.
    • Support the Development Operations and Asset Retirement teams by digitizing project surveys, collecting or filing of required spatial data, and the generation…
    • Collect, summarize and interpret data and information to produce intelligence and operational enforcement documents aimed at advancing operations and…
    • Integrate weather station data, public weather data, wildfire detection camera information, and other situational awareness inputs into practical operational…
    • Review and QA LiDAR data products against client specifications, industry standards, and contract requirements.
    • Employee type: Full time, Permanent.
    • Explore data sources and develop new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
    • MS or PhD is a plus.
    • Partner with Core Systems Engineers building the spatial compute layer and data platform engineers managing large spatial datasets.
    • Familiarity with spatial data, GIS workflows, geospatial APIs, or data infrastructure concepts (partitioning, indexing, query performance).
    • BigGeo is building the Spatial Cloud, a foundational infrastructure for how spatial data is governed, executed, and monetized in real time.
    • The Spatial Cloud provides a unified architecture that enables organizations to manage spatial data they own, access spatial data from external sources, and…
    • Design APIs, data pipelines, and integration workflows that connect spatial data to operational systems.
    • Experience designing real-time or high-performance…
    • The Spatial Cloud provides a unified architecture that enables organizations to manage spatial data they own, access spatial data from external sources, and…
    • Experience with distributed spatial databases and spatial indexing at scale.
    • PostGIS competency for spatial database operations.
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Job Post Details

KPMG logo

Manager, Data Platform(s) Architect, Data & AI - job post

KPMG
3.8 out of 5 stars
Calgary, AB T2P 4H4
$117,000–$152,500 a year - Full-time
You must create an Indeed account before continuing to the company website to apply

Job details

Pay

  • $117,000–$152,500 a year

Job type

  • Full-time

Location

Calgary, AB T2P 4H4

Full job description

Overview:

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.


Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our Data & AI team is one of our fastest‑growing practices, with strong client demand across sectors to modernize data platforms and operationalize AI. Our mission is to help clients harness the full potential of the lakehouse paradigm centered on Databricks - to unlock the power of their data and drive business transformation with trustworthy, secure, and scalable AI. As a member of our team, you’ll work with cutting‑edge technology, tackle complex data challenges, grow your skills, and contribute to business growth and innovation in a dynamic and inclusive environment.
What you will do:
  • Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement.
  • Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution.
  • Analyze, implement, and resolve issues with existing modern data platforms
  • Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform.
  • Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads across environments, ensuring robust automation and operational stability.
  • Design modern data foundations including streaming/batch pipelines, medallion architecture, semantic layer, and data products.
  • Lead delivery teams through design, build, testing, and deployment, ensuring quality and operational excellence.
  • Drive pre‑sales, partner collaboration, proposal writing, responding to RFPs, solution demos, PoCs, and technical storytelling.
  • Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
  • Own scoping, estimation, and task planning for assigned projects.
  • Embed data management leading practices, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
  • Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
  • Own delivery outcomes for client engagements, including timelines, quality, and operational stability
  • Remaining up to date in new and emerging technologies
What you bring to this role:
  • 8+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
  • Hands‑on Databricks and Fabric expertise across the whole data and analytics continuum.
  • Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
  • Expert skills in SQL, Python, and distributed data processing.
  • Deep understanding of data management including architecture, data engineering, governance, and data quality.
  • Strong delivery leadership including estimation, planning, and stakeholder communication.
  • Ability to translate business needs into technical solutions.
  • Relevant certifications (Databricks, Fabric or cloud architect).
  • You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
  • You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clients’ objectives and challenges.
  • You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
  • You’re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
  • You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
  • You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.
KPMG Ontario Region Pay Range Information
The expected base salary range for this position is $117,000 to $152,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information
The expected base salary range for this position is $117,000 to $152,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Our Values, The KPMG Way:
Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.
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