Lead enterprise data architecture and roadmap strategy at Ambyint, using cloud platforms and DataOps in a hybrid working environment. Guide reliable data products. As Head of Data Engineering, you will lead vision, execution, and technical standards for Ambyint’s artificial lift optimization platform. You will manage data engineers and analysts while partnering with executives, Product, Data Science, and software engineering leaders. The mandate includes scalable architecture, analytics, streaming and batch capabilities, governance, security, and cost efficiency. Key Responsibilities:
Set enterprise data architecture and multi-year platform roadmaps Lead, mentor, recruit, and develop high-performing data teams Align engineering priorities with executive and business goals Drive self-service reporting, dashboards, and enterprise data models Establish DataOps, governance, lineage, and metadata standards Requirements:
Bachelor’s or Master’s degree in a quantitative field 8+ years in data engineering and 3+ leadership years Experience scaling high-volume IoT, streaming, and batch platforms Expertise with Snowflake, Databricks, BigQuery, dbt, or Airflow Executive communication and stakeholder management skills Shape Ambyint’s data strategy through architecture leadership, team development, governance, and scalable industrial data platforms.
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Head of Data Engineering Strategy in Calgary employer: Ambyint
Ambyint is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic energy sector. As the VP of Product, you will benefit from a hybrid work environment that promotes work-life balance while also having access to robust professional development opportunities. With a focus on AI-powered solutions, Ambyint encourages its leaders to drive meaningful change and growth, making it an ideal place for those looking to make a significant impact in their careers.
