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Citi Logo Citi · IT - Software Development

Lead Python Full Stack Data Engineer

Canada, Mississauga 120800.00 - 170800.00 USD / Year · Job Posted May 16, 2026
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Job Description

We are assembling an A-team of highly skilled, autonomous, and visionary engineers, and we are seeking an exceptional Lead Full Stack Data Engineer to join our high-performing, co-located squads in Canada. This senior role is for a hands-on player/coach who not only masters the full spectrum of data engineering but also demonstrates exemplary leadership, strategic thinking, and an unwavering commitment to leveraging AI for transformative productivity. The ideal candidate will take ownership of complex data products and platforms, driving the design, development, and optimization of end-to-end data solutions from ingestion to advanced consumption. We are looking for a true AI-first thinker who can architect scalable systems, mentor emerging talent, profoundly understand the functional domains our work impacts, and significantly contribute to our data strategy and culture.

Job Responsibility

  • Lead and Architect end-to-end data solutions
  • Drive Strategic Initiatives within small, co-located squads
  • Act as a Player/Coach
  • Design, Develop, and Optimize highly efficient and resilient data ingestion, processing, and transformation pipelines using advanced Python and PySpark techniques
  • Architect and Implement sophisticated data storage solutions leveraging a diverse set of big data technologies
  • Champion Data Modeling and Governance
  • Strategically Engage with data consumers, data scientists, and business stakeholders
  • Lead the Implementation of real-time data streaming and complex event-driven architectures
  • Enforce and Evolve Best Practices in data engineering and software development
  • Exhibit High Autonomy and Agency
  • Innovate with AI-Powered Development
  • Shape the Future of Our Data Stack
  • Expertly Troubleshoot and Resolve the most challenging technical issues

Requirements

  • 6+ years of progressive, hands-on experience as a Senior/Lead Data Engineer
  • Expert-level proficiency in Python
  • Deep expertise in developing highly optimized, scalable, and production-grade PySpark applications
  • Deep architectural understanding and extensive hands-on experience with the entire Apache Spark ecosystem (Spark Core, Spark SQL, Spark Streaming, Spark MLlib)
  • Advanced proficiency with Hive for enterprise data warehousing
  • Expert knowledge of distributed computing fundamentals, HDFS, and other components of the Hadoop ecosystem
  • Master-level proficiency in SQL, complex query optimization, and advanced data warehousing concepts
  • Extensive experience with various data storage formats (e.g., Parquet, ORC, Avro) and leading data lake solutions (e.g., Delta Lake, Iceberg)
  • Proven experience with enterprise-grade NoSQL databases (e.g., Cassandra, MongoDB, HBase)
  • Expert-level experience with Apache Kafka
  • Extensive experience with big data services on major cloud platforms (e.g., AWS EMR/Glue/Redshift/Kinesis, Azure Databricks/Data Factory/Synapse/Event Hubs, GCP Dataflow/Dataproc/BigQuery/Pub/Sub)
  • Demonstrated mastery and innovative application of AI coding tools (e.g., Claude Code, Codex, Antigravity)
  • Advanced understanding of software engineering principles, design patterns, data structures, algorithms, and performance engineering for distributed systems
  • Extensive experience with RESTful API design, development, and integration for data services
  • Strong expertise in containerization technologies (e.g., Docker, Kubernetes) and orchestration
  • Master-level proficiency with version control systems, especially Git
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a relative experience is required
  • A Master's degree or Ph.D. is strongly preferred
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