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Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage data engineering workstreams for client delivery, including planning, design, build, and deployment activities.
Own project scope, timelines, budgets, and deliverables across multiple workstreams within the Data and Analytics Engineering practice.
Guide data architecture strategies, review technical designs, and apply cloud-based tools like Databricks, Snowflake, and Azure Data Factory to build scalable data solutions.
Minimum Requirements
Bachelor's degree required.
Minimum 8 years of professional experience.
Proficiency in oral and written English.
Experience with data engineering tools and cloud platforms such as Apache Airflow, Azure Data Factory, Databricks, Snowflake, AWS, or Azure Databricks is implied but not explicitly listed as mandatory.
Ideal Candidate Profile
Background in fields such as Management Information Systems, Computer Science, Systems or Electrical Engineering, Mathematics, Statistics, or related disciplines.
Proven experience leading data delivery teams and architecting data pipelines and integrations in client-facing projects.
Demonstrated ability to manage multiple client priorities, mentor teams, and apply cloud platform technologies in a delivery environment.