Ben Mackenzie
ML EngineerField Engineering at Databricks
Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Field Engineering at Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hands-on technical leader with extensive experience working with enterprise clients to apply new technology to business problems. Strong interpersonal, communications and team building skills. Extensive experience in software, data analytics, machine learning, cloud and analytics operations.
McGill University
B.Sc., Math, Computer Science
January 1, 1987 – January 1, 1992
Databricks
Field Engineering Manager
January 1, 2026 – Present
Databricks
Senior Solutions Architect
March 1, 2022 – January 1, 2026
Digital.ai
Director, Machine Learning
September 1, 2020 – March 1, 2022
Canada
ModelOp
Principal Architect, AI Engineering
May 1, 2019 – September 1, 2020
Ottawa, Ontario, Canada
Teradata
Director AI Engineering, Emerging Practices
January 1, 2017 – May 1, 2019
United States
Teradata
Principal Architect, Think Big Analytics
January 1, 2010 – January 1, 2017
United States
Carleton Univeristy
Student
January 1, 2008 – January 1, 2010
Ottawa
Gatineau Software
Founder
January 1, 2004 – January 1, 2008
Carleton University
Student
January 1, 2002 – January 1, 2004
Ottawa
C-bridge Internet Solutions
Senior Solutions Architect
January 1, 1997 – January 1, 2001
Kasten Chase Applied Research
Software Engineer
May 1, 1992 – March 1, 1997
Databricks Certified Machine Learning Associate
Databricks
June 24, 2026 – Present
Databricks Certified Generative AI Engineer Associate
Databricks
June 24, 2026 – Present
Databricks Certified Data Engineer Associate
Databricks
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a senior ML Engineer role, especially in an organization focused on enterprise AI solutions. Their diverse experience across various industries (financial services, manufacturing, telecommunications) and client types (RBC, American Airlines, Verizon) shows adaptability and a broad perspective. The progression from individual contributor to leadership roles, including founding a software company, indicates initiative and an entrepreneurial spirit. The continuous learning through certifications also aligns with a culture of growth and innovation.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership, client-facing roles, and managing teams suggests strong communication, collaboration, and problem-solving skills. Their history of leading initiatives and informing product roadmaps indicates strategic thinking and operational leadership capabilities. The descriptions, while brief, imply a focus on business impact and practical application of AI.