Why Keyera?
It’s our purpose-driven culture, benefits, and people. From flexible, customizable benefits and an employer-funded pension plan to our Keyera Connects social investment program and paid employee volunteer days, we’re focused on empowering our people and communities.
When you work with us, you'll enjoy:
Flexible Benefits to meet your individual and family needs, including
$3,500 plus 4.5% of base salary each year to customize your benefits and investments
Saving plan options, including an Employee Share Purchase Plan, RRSP, and TFSA
Defined Contribution Pension Plan funded by Keyera up to 10% of base salary
Wellness Personal Spending Account of $750 per year to cover wellness expenses
Paid vacation and eight flex days each year
Two paid volunteer days each year to support the causes that are most important to you
Employee Family Assistance Program with a variety of support resources from professional counselling to financial planning support and more.
Role/Location Specific
Keyera’s Northern Allowance is a tiered incentive program based on years of service, currently offered to employees working at the following locations: Grande Prairie Office, Wapiti, Simonette, Gold Creek, South Cheecham, and Fox Creek Terminal. This information reflects the current state of the program and may be subject to change over time.
Please note that compensation and benefits may be different based on the work location, position, and a candidate's experience and qualifications.
Job Type:Permanent
THE POSITION
The Data Platform Specialist is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, integration, and analysis. They play a crucial role in building and managing scalable data pipelines and positioning the enterprise data platform as a secure, governed integration hub that enables reliable data exchange across internal systems, external applications, and analytical environments.
The role also carries accountability for performance optimization and cost management of the data platform, ensuring efficient use of consumption-based services and alignment to business value.
RESPONSIBILITIES
Data Management & Pipeline Development
Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into appropriate data storage systems
Transforms raw data into usable formats through cleansing, aggregation, filtering, enrichment, and modeling techniques
Creates robust data models and architectures to support analytics initiatives
Optimizes data pipelines and processing workflows for performance, scalability, reliability, and efficiency
Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements optimization strategies including partitioning, caching, and indexing
Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
Collaborates with data scientists and AI developers to integrate predictive models or machine learning algorithms into analytics workflows
Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes
Data Platform as Integration Hub
Designs and implements the data platform as an enterprise integration hub, supporting both inbound and outbound data flows
Develops and manages integrations with internal systems, SaaS platforms, operational applications, APIs, event streams, and external partners
Enables bidirectional data exchange, including batch, streaming, API-based, and event-driven integration patterns
Ensures data consistency, integrity, security, and compliance across integrated systems
Works with application, architecture, and integration teams to define integration standards, reusable patterns, and scalable data exchange frameworks
Data Quality, Governance & Modeling
Implements data quality checks and validation controls within data pipelines to ensure accuracy, consistency, and completeness
Collaborates with data scientists and analysts to optimize data models for quality, security, performance, and governance
Contributes to the establishment and enforcement of governance practices for data assets and analytical models
Supports enterprise data modeling practices, including logical, physical, and semantic modeling where applicable
Platform Performance & Cost Management
Models, monitors, and manages platform costs across cloud and data services based on consumption and pricing models (e.g., compute, storage, data movement, API usage
Designs cost-efficient architectures aligned to workload characteristics and service pricing structures
Implements workload management, scaling policies, and resource optimization strategies to balance performance and cost
Provides transparency and reporting on platform usage and cost drivers to support financial planning and accountability
Partners with architecture and finance stakeholders to forecast platform growth and optimize total cost of ownership
Enterprise Engagement
Collaborates across AI, analytics, architecture, and business teams to enable trusted and accessible data products
Supports executives and senior leaders in understanding the value, risk, and economics of enterprise data assets
Translates between executive, business, IT, and quantitative stakeholders to align technical solutions with business outcomes
QUALIFICATIONS
Education
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related background and experience
Experience
Understanding and experience working within a Databricks environment
At least 15 years of work experience in data management or related disciplines, including data integration, modeling, optimization, and data quality
Proven experience designing and maintaining modern data platforms in cloud-based big data environments (e.g., Databricks, Snowflake)
Experience building API-based and event-driven integrations across enterprise systems
Demonstrated experience building, scaling and sustaining enterprise environments
Experience operating within consumption-based cloud pricing models and managing platform cost optimization initiatives
Experience working in or supporting asset-intensive industries such as:
Energy, utilities, mining, manufacturing, transportation, or infrastructure
Capital projects, operations, reliability, maintenance, or supply chain environments
Skills
Expert in designing and building scalable ELT pipelines within the Databricks Lakehouse, or directly relevant experience, leveraging distributed processing and native platform capabilities, while integrating with complementary enterprise data and operational solutions.
Strong proficiency in programming languages such as Python and Java
Advanced SQL skills and experience with modern data warehouse platforms (e.g., Snowflake, Databricks)
Experience with cloud platforms (AWS, Azure) and modern data architecture patterns
Experience with database technologies such as SQL and NoSQL systems
Ability to design, build, and deploy data solutions that support AI, ML, BI, and operational use cases
Strong understanding of integration architectures, API design, event streaming, and data exchange protocols
Demonstrated ability to optimize platform performance and cost in consumption-based environments
Strong problem-solving and debugging skills across distributed systems
Excellent business acumen and interpersonal skills; able to influence and effect change across business lines
Ability to clearly articulate business use cases, data management concepts, architectural tradeoffs, and financial implications of technical decisions
Posting Expiry Date:Mar 27, 2026
At Keyera, we embrace collaboration, inclusion, and a workplace that is as diverse as the communities we serve. Our values foster an environment for every person to bring their whole self to work.
We offer a well-rounded total compensation package and a comprehensive benefits program designed with the well-being and empowerment of our employees and their families in mind.
If you are interested in an opportunity to join a winning, purpose-driven culture then you’ll enjoy a career with us.
We thank all applicants for their interest; however, only those considered for an interview will be contacted.
Top Skills
Keyera Calgary, Alberta, CAN Office
144 4 Ave SW, Calgary, Alberta, Canada, T2P 3N4
.png)
