Ambyint is a SaaS company that provides an Industrial IoT platform, leveraging physics-influenced AI models, plus closed-loop control to enable autonomous operations. As a result, we are an instrumental part of the climate technology evolution and a market leader in production optimization for the energy industry. We deliver step-change improvements to our customers by combining advanced physics, subject matter expertise, and data-informed insights with AI to automate operations and production optimization workflows. We’re coming off a strong year and are setting even higher ambitions for the future. To help us reach the next level, we’re looking for a Head of Data Engineering to join our team.
About the role As the Head of Data Engineering at Ambyint, you will lead the vision, strategy, and execution of our enterprise data architecture and roadmap. You will manage and empower a high-performing team of data engineers and data analysts, setting technical standards to support our market-leading artificial lift optimization platform.
You’ll be instrumental in shaping our long-term data strategy—balancing scalability, security, cost efficiency, and platform performance. Working closely with executive leadership, product managers, data science leaders, and software engineering heads, you will drive business outcomes by turning complex industrial data streams into scalable, reliable data products.
WHAT YOU'LL DO
Strategy & Architecture Leadership
Set the strategic vision and multi-year roadmap for enterprise data architecture, platform scaling, analytics, and streaming/batch capabilities.
Lead, mentor, and recruit a world-class data engineering team, driving career development and team performance.
Partner with executive leadership, Data Science, and Product to align data engineering priorities with business goals.
Drive the analytics and business intelligence strategy, delivering self-service reporting capabilities, executive dashboards, and enterprise data models.
Ops Excellence & Platform Governance
Establish enterprise DataOps standards, continuous integration/deployment (CI/CD) pipelines, and rigorous engineering practices.
Define and enforce data governance, quality frameworks, lineage, and metadata management across all data assets.
Own SOC2 compliance, data privacy, and security protocols across all data stores and cloud infrastructure.
Establish governance, semantic consistency, and quality controls across BI platforms and reporting models to guarantee single-source-of-truth analytics.
Manage the data platform budget, optimizing cloud warehouse consumption and other vendor tooling costs.
Oversee cross-functional delivery schedules, resource allocation, and technical debt management across pipelines and platform infrastructure.
Evaluate and select emerging technologies, vendors, and tools to maintain competitive technical advantage.
Optimize BI platform licensing, analytics warehouse queries, and dashboard reporting infrastructure to maximize ROI on analytics spend.
Data Strategy & Architecture
Develop and maintain the quarterly roadmap for Data Engineering and deliver ≥ 85% of committed quarterly roadmap milestones on time. Have stakeholders in data science, product, and engineering rate the data product use ≥ 4/5 in a semi-annual satisfaction survey for meeting their data needs.
Leadership & Team Development
Hit the approved hiring plan on schedule, with new hires fully productive within 90 days.
Keep annual regretted attrition under 10%, give every team member a documented development plan, and score at or above the company benchmark on team engagement surveys.
Governance, Security & Cost
Pass SOC2 audits with no data-related exceptions, with a governance framework (ownership, lineage, access controls) in place across all production datasets.
Manage the data platform spend within budget while lowering unit cost per well year over year.
QUALIFICATIONS
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
8+ years of progressive experience in data engineering, with 3+ years in a leadership, managerial, or staff/principal architectural role.
Proven track record of designing, deploying, and scaling enterprise data platforms handling high-volume IoT, streaming, and batch data.
Deep technical expertise in cloud data warehouses (Snowflake, Databricks, or BigQuery), ETL platforms (Azure data pipelines, Fivetran, Stitch), and modern orchestration/transformation tools (dbt, Airflow, Dagster).
Strong background in financial management for cloud resources, compute unit cost optimization, and FinOps best practices.
Expertise in establishing DataOps processes, CI/CD frameworks, unit testing paradigms, and SOC2/data governance policies.
Demonstrated ability to build, manage, and scale high-performing engineering teams through effective hiring, coaching, and retention.
Executive-level communication and stakeholder management skills with the ability to translate complex technical concepts into strategic business outcomes.
Experience managing end-to-end Business Intelligence (BI) platforms, data modeling for analytics, and working with modern visualization tools (e.g., Tableau, Power BI, Looker).
WHAT SETS YOU APART
The gratification of a
job well done
comes from the satisfaction of your ‘customers’
It’s in your nature to be efficient and do it really well, while you always
deliver on what you promise
Your strengths come from
collaborating
with others
Continuous
learning and improvement
are part of your mantra
You are curious, creative, biased for action, and
love solving problems
You don’t assume that you are the best and have the
humility
to learn from others
WHAT SETS US APART Ambyint is a scale-up company, possessing all the exciting edginess of a start-up with solutions that are proven andadvancing daily. We pride ourselves on the strength of our team and company, and the positive environmentalimpact we are driving. We live by a simple and effective set of values.
WHAT’S IN IT FOR YOU The opportunity to make a difference in a cutting-edge technology company that is highly spirited and focused onbeing a leading contributor in the energy transition space. We offer an environment steeped in creating a rewardingprofessional experience and having some fun along the way. We work in a hybrid working environment with adiverse and talented team. We have a passion for taking on big challenges to create a wealth of opportunities andwe will support your development and career goals. Additionally, we offer a competitive compensation and benefitspackage.
COMMITMENT TO DIVERSITY, EQUITY, & INCLUSION At Ambyint, diversity, equity, and inclusion are at the core of who we are. Our commitment to these values is unwavering – across all of our work, teams, and interactions with customers. They are central to our mission and to our impact. The understanding that having varied perspectives and backgrounds helps generate richer ideas to solve the complex problems of a changing, and increasingly diverse world is paramount to who we are and how we work together as a team.
#J-18808-Ljbffr
Head of Data Engineering in Calgary employer: Ambyint Inc.
Ambyint is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the rapidly evolving field of Industrial IoT. With a strong commitment to employee growth, we provide opportunities for professional development and leadership within a culture that values transparency, accountability, and customer-centricity. Located in a vibrant tech hub, our team enjoys the unique advantage of being at the forefront of climate technology while contributing to meaningful advancements in the energy industry.
