Big Data Technical Project Manager

Role Name: Big Data Technical Project Manager Location: Toronto 4 days a week on site, F2F CI required JOB DESCRIPTION: Job Summary: 4 days a week on site, F2F CI required We are seeking an experienced Technical Project Manager with strong Big Data expertise to lead the planning execution and delivery of datadriven initiatives The ideal candidate will bridge the gap between business stakeholders and technical teams managing complex data engineering and analytics projects while ensuring timely and highquality delivery Key Responsibilities: Project Management: • Lead endtoend delivery of Big Data and analytics projects across multiple teams • Define project scope goals timelines and deliverables aligned with business objectives • Manage project risks dependencies and resource allocation • Track progress and provide regular project status updates to stakeholders • Ensure adherence to Agile Scrum or hybrid project management methodologies Technical Leadership: • Collaborate with data engineers architects and analysts to design scalable Big Data • Understand and guide implementation of data pipelines ETL processes and realtime data streaming • Ensure best practices in data governance security and compliance • Review technical designs and provide recommendations to improve performance solutions and scalability Stakeholder Management: • Act as a liaison between business engineering and senior leadership • Gather and translate business requirements into technical specifications • Facilitate effective communication across distributed teams Data Big Data Platform Oversight: • Manage projects involving technologies such as • Hadoop ecosystem HDFS Hive Spark • Cloud platforms Azure AWS GCP • Data warehouses Snowflake Redshift BigQuery • Streaming tools Kafka Flink • Drive adoption of modern data architecture practices such as data lakes and lakehouse solutions Quality Delivery: • Ensure highquality deliverables through testing validation and performance tuning • Monitor KPIs SLAs and project success metrics • Promote continuous improvement and process optimization Required Qualifications: • Bachelors or Masters degree in Computer Science Engineering Data Science or related field • 7 years of experience in IT with 3 years managing Big Data or data engineering projects • Strong understanding of data architectures ETL processes and distributed systems • Proven experience managing AgileScrum projects • Handson experience or familiarity with • Apache Spark Hadoop Kafka • SQL and NoSQL databases • Cloudbased data services Azure Data Factory AWS Glue etc Preferred Qualifications: • PMP Scrum Master CSM or equivalent certification • Experience with AIML data pipelines or advanced analytics projects • Familiarity with DevOps and CICD practices • Knowledge of data governance frameworks and compliance standards eg GDPR Key Skills: • Strong technical and analytical skills • Excellent communication and stakeholder management • Leadership and team coordination abilities • Problemsolving and decisionmaking skills • Risk management and prioritization • Ability to translate business requirements into technical solutions Tools Technologies: • Project Management Jira Azure DevOps MS Project • Data Platforms Hadoop Spark Snowflake • Cloud Azure AWS or GCP • Programming Python SQL preferred • Visualization Power BI Tableau nice to have

Want to see how well you match this job?