Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Standardize and rationalize template structures * Prepare data for ingestion into structured data models B. Data Architecture and Modeling * Design data models including fact and dimension tables
Designing Streamlined Data Structures • Translate manual, upload oriented reporting templates into analytics ready data structures, including: - Object / fact tables (e.g., sample observations ...
Designing Streamlined Data Structures • Translate manual, upload oriented reporting templates into analytics ready data structures, including: - Object / fact tables (e.g., sample observations ...
Define and manage data structures within Databricks (Delta Lake) * Ensure models support scalability, performance, and reusability Collaboration & Stakeholder Engagement * Partner with business ...
Define and manage data structures within Databricks (Delta Lake) * Ensure models support scalability, performance, and reusability Collaboration & Stakeholder Engagement * Partner with business ...
Designing Streamlined Data Structures Translate manual, upload oriented reporting templates into analytics ready data structures, including: Object / fact tables (e.g., sample observations ...
Quick apply
Designing Streamlined Data Structures Translate manual, upload oriented reporting templates into analytics ready data structures, including: Object / fact tables (e.g., sample observations ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A. Model ...
Support Lakehouse data architecture implementation, ensuring logical models are translated into usable data structures across ingestion (raw), curation (trusted), and consumption (refined) layers ...
New
Support Lakehouse data architecture implementation, ensuring logical models are translated into usable data structures across ingestion (raw), curation (trusted), and consumption (refined) layers ...
New
Data Architect
Calgary, AB · Hybrid
CA$128.40K - CA$147.70K/yr
You'll turn raw product and business data (structured and unstructured) into high-quality, documented, and governed datasets and a semantic layer that enables analysts, data scientists, and AI agents ...
Data Architect
Calgary, AB · Hybrid
CA$128.40K - CA$147.70K/yr
You'll turn raw product and business data (structured and unstructured) into high-quality, documented, and governed datasets and a semantic layer that enables analysts, data scientists, and AI agents ...
Senior Data Engineer
Calgary, AB · Remote
CA$11K - CA$140K/yr
Apply OCR and NLP techniques to extract structured signals from unstructured clinical documents * Implement data quality frameworks, testing, version control, and CI/CD for all ingestion and ...
Senior Data Engineer
Calgary, AB · Remote
CA$11K - CA$140K/yr
Apply OCR and NLP techniques to extract structured signals from unstructured clinical documents * Implement data quality frameworks, testing, version control, and CI/CD for all ingestion and ...
Advocate for clean, reusable, and governed data structures DevOps & Deployment * Support and improve DevOps practices for Power BI, including version control, deployment pipelines, and lifecycle ...
Advocate for clean, reusable, and governed data structures DevOps & Deployment * Support and improve DevOps practices for Power BI, including version control, deployment pipelines, and lifecycle ...
Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging. * Hands on experience with data engineering platforms and tools ...
Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging. * Hands on experience with data engineering platforms and tools ...
Manage structured storage and data lake solutions using Azure Data Lake Storage Gen2 * Integrate data from multiple enterprise systems, APIs, ServiceNow, and geospatial platforms * Build and optimize ...
Manage structured storage and data lake solutions using Azure Data Lake Storage Gen2 * Integrate data from multiple enterprise systems, APIs, ServiceNow, and geospatial platforms * Build and optimize ...
Manage structured storage and data lake solutions using Azure Data Lake Storage Gen2 * Integrate data from multiple enterprise systems, APIs, ServiceNow, and geospatial platforms * Build and optimize ...
Manage structured storage and data lake solutions using Azure Data Lake Storage Gen2 * Integrate data from multiple enterprise systems, APIs, ServiceNow, and geospatial platforms * Build and optimize ...
Data Structure information
See Alberta salary details
$24K - $38K
11% of jobs
$38K - $52K
10% of jobs
$63.9K is the 25th percentile. Wages below this are outliers.
$52K - $66K
5% of jobs
$66K - $80K
5% of jobs
$80K - $94K
14% of jobs
The median wage is $98.8K / yr.
$94K - $108K
14% of jobs
$108K - $122K
9% of jobs
$122K - $136K
5% of jobs
$138.7K is the 75th percentile. Wages above this are outliers.
$136K - $150K
10% of jobs
$150K - $164K
12% of jobs
$164K - $178K
5% of jobs
$24K
$103.5K
$178K
How much do data structure jobs pay per year?
As of Jun 1, 2026, the average yearly pay for data structure in Alberta is $103,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $147,500.00 per year, depending on experience, location, and employer.
What is a Data Structure job?
A Data Structure job typically involves designing, implementing, and optimizing data storage and retrieval mechanisms in software applications. Professionals in this role work with different data structures like arrays, linked lists, trees, and graphs to improve the efficiency of algorithms. They are often employed in software development, data engineering, or system architecture roles, ensuring that data is managed efficiently for various applications. Strong problem-solving skills and proficiency in programming languages like Python, Java, or C++ are essential for success in this field.
What are the key skills and qualifications needed to thrive as a Data Structures Engineer, and why are they important?
To thrive as a Data Structures Engineer, you need a solid understanding of algorithms, programming languages (such as Java, C++, or Python), and a formal education in computer science or a related field. Familiarity with version control systems like Git, debugging tools, and experience with relevant libraries or frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you design efficient solutions and collaborate with other developers. These skills ensure robust, scalable software that meets performance requirements and supports business objectives.
What are some common challenges faced by professionals working with data structures in software development?
Professionals working with data structures often encounter challenges such as selecting the most efficient data structure for a specific application, optimizing memory usage, and ensuring code scalability as data volume grows. Collaboration with other team members, such as developers and data engineers, is essential to design robust solutions that balance performance and maintainability. Additionally, staying current with evolving algorithms and best practices helps address complex data manipulation tasks in real-world projects.
What are data structures?
Data structures are specialized formats for organizing, processing, and storing data in computers so that it can be accessed and modified efficiently. Common types include arrays, linked lists, stacks, queues, trees, and graphs. Each data structure is designed to solve specific types of problems and optimize certain operations such as searching, sorting, or inserting data. Understanding data structures is fundamental for programming and software development, as they directly impact the performance and scalability of applications.
What is the difference between Data Structure vs Data Analyst?
| Aspect | Data Structure | Data Analyst |
|---|---|---|
| Required Credentials | Computer Science degree, programming skills | Statistics, data analysis certifications, degree in related fields |
| Work Environment | Software development, programming, algorithm design | Business, finance, marketing, data interpretation |
| Industry Usage | Software engineering, computer science | Business intelligence, marketing, finance |
Data Structures focus on organizing and storing data efficiently within software applications, requiring programming skills and technical knowledge. Data Analysts interpret data to provide insights, often using statistical tools and working closely with business teams. While Data Structures are foundational for software development, Data Analysts apply data to solve business problems. Both roles are essential in data-driven industries but serve different purposes and skill sets.
More about Data Structure jobs
What are popular job titles related to Data Structure jobs in Alberta? For Data Structure jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Structure jobs in Alberta look for? The top searched job categories for Data Structure jobs in Alberta are:
Other
Posted 14 days ago
Job description
Job Title: Senior Data Architect
Location: Edmonton, Alberta (Hybrid)
Duration: 9 Months (Contract)
Job Overview: We are seeking an experienced Senior Data Architect to support the enhancement of a large-scale Digital Regulatory Assurance platform. This role involves working in a fast-paced Agile environment, focusing on designing scalable, analytics-ready data structures and improving data standardization across systems.
Key Responsibilities:
A. Data Standardization and Template Optimization
- Identify and reduce duplication across reporting and monitoring templates
- Define and maintain canonical data elements such as facility, authorization, parameter, time, and location
- Standardize and rationalize template structures
- Prepare data for ingestion into structured data models
B. Data Architecture and Modeling
- Design data models including fact and dimension tables
- Develop and maintain a unified business object model with defined entities, attributes, and relationships
- Define standards for data structure, grain, consistency, and versioning
- Document architectural decisions and maintain traceability
- Translate data models into technical specifications such as schemas, ingestion rules, and data quality standards
- Collaborate with engineering teams to ensure alignment with architecture
C. Advanced Analytics Enablement
- Design data structures to support analytics such as trend analysis, aggregation, anomaly detection, and predictive modeling
- Balance normalization and denormalization based on use case
- Work with analysts to refine data models
- Plan for schema evolution while maintaining data consistency
Work Schedule:
- Monday to Friday
- 8:15 AM to 4:30 PM (1-hour lunch break)
- Primarily remote with occasional in-office meetings (approximately once per month)
- Work must be performed within Alberta
Compliance Requirements:
- Background check required prior to onboarding
- Completion of mandatory training including privacy, cybersecurity, and workplace policies
Equipment Requirements:
- Candidate must provide their own computer and office setup
- Computer must support secure remote access tools (Azure Virtual Desktop preferred)
For more details reach at resumes@navitassols.com.