Lead enterprise data architecture and roadmap strategy at Ambyint, using cloud platforms and DataOps in a hybrid working workplace. 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 roadmapsLead, mentor, recruit, and develop high-performing data teamsAlign engineering priorities with executive and business goalsDrive self-service reporting,



dashboards, and enterprise data modelsEstablish DataOps, governance, lineage, and metadata standardsRequirements:
Bachelor’s or Master’s degree in a quantitative field8+ years in data engineering and 3+ leadership yearsExperience scaling high-volume IoT, streaming, and batch platformsExpertise with Snowflake, Databricks, BigQuery, dbt, or AirflowExecutive communication and stakeholder management skillsShape Ambyint’s data strategy through architecture leadership, team development, governance, and scalable industrial data platforms.
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📌 Head Of Data Engineering Strategy (Winnipeg)
🏢 Ambyint
📍 Winnipeg