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Data Operations Jobs in Alberta (NOW HIRING)

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Data Operations information

See Alberta salary details

$24K

$80.8K

$167K

How much do data operations jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data operations in Alberta is $80,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $107,500.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, investment bankers, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes significant risk or ownership stakes.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and data quality standards to support analytics and decision-making processes.

Is 30 too late for data science?

Data operations roles often value relevant skills and experience over age, and many professionals transition into data science at various stages of their careers. While some roles may prefer candidates with recent technical training or certifications, age is generally not a barrier if you develop strong analytical, programming, and data management skills. Continuous learning and practical experience can help you succeed regardless of age.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What jobs pay 200,000 a year in the USA?

In data operations, senior roles such as Data Operations Managers, Data Architects, and Data Engineering Directors can earn $200,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, or cloud platforms, and leadership responsibilities. These positions often require a strong understanding of data management, analytics, and sometimes certifications like CDMP or AWS certifications.
What are popular job titles related to Data Operations jobs in Alberta? For Data Operations jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Alberta look for? The top searched job categories for Data Operations jobs in Alberta are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Alberta as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $80,838 per year, or $38.9 per hour.

Enterprise Data Architect (Energy) - EDAEAS

NavitasPartners

Calgary, AB • Remote

$30/hr

Other

Posted 10 days ago

Job description

Job Title : Enterprise Data Architect (Energy)Industry

Energy & Utilities

Position Overview

The Data Architect will define and implement enterprise data architecture strategies supporting digital transformation, operational analytics, smart grid initiatives, and renewable energy programs.

Responsibilities
  • Design enterprise data architecture frameworks.
  • Build cloud-native data platforms.
  • Define data integration strategies.
  • Establish enterprise data models.
  • Ensure architecture scalability and governance.
  • Support AI and advanced analytics initiatives.
Required Skills
  • Data Architecture
  • Cloud Architecture (Azure, AWS, GCP)
  • Snowflake
  • Databricks
  • Data Modeling
  • API Integration
  • Enterprise Integration Patterns
Preferred Skills
  • Smart Grid Architecture
  • Energy Trading Platforms
  • IoT Data Architecture
  • Digital Twin Solutions
Mandatory Experience
  • 8+ years in Data Architecture.
  • Must have Energy industry experience.


For more details reach at resumes@navitassols.com

Apply