Director, Data Engineering and Data Governance

3 weeks ago

Toronto ON, Canada Alexi Full time

We are on a mission to transform the legal services industry by building cutting edge AI-powered solutions. We are a team of software engineers, lawyers and designers working hard to achieve our long-term mission.
We're looking for a Director of Data Engineering and Governance to design and develop data processing platforms and frameworks for Data Science, Engineering and Machine Learning. You will be expected to lead by example, provide technical leadership and guide the team in making technical decisions and developing solutions that meets good data processing standards.

Hands-on problem solving and coding
Lead by example, with humility, curiosity, experimental mindset, extreme coding, architecting and problem solving attitude
Balance for short-term quick wins and long-term gains.
Oversee, design, and develop real-time and batch processing data processing frameworks
Develop high ROI data structuring methodologies for unstructured text
Ensuring high quality data ingestions with reliable logging and metrics
Liaison, coordinate, plan and prioritize projects between AI, Backend and Product Integration teams.
Planning and estimating features in the roadmap to determine the next sprint goals
Designing architectural improvements to an event-driven microservices architecture
Consistently identifying and reducing technical debt
Writing and designing automated unit and integration test strategies
Working with a high performing senior engineering team
Stay updated with the latest data engineering tools (Snowflake, etc), strategies and cloud integrations

Bachelor's degree in Computer Science/Engineering or equivalent
~5+ years of cloud-native data engineering experience
~ Demonstrated experience in Micro-services Architecture, Data Integration Design, Data Streaming (AWS Kinesis, Lambda. Apache Kafka), In-memory & distributed caching and Data Architectures
~ Proficient in writing streaming applications and integration services
~ Strong understanding of data storage principles, data formats (Avro, Parquet, Delta) and writing ETLs for batch pipelines (Spark, Airflow etc.)
~ Strong suite of skills in software development with focus on code refactoring, design patterns, design-driven development, CI/CD and highly scalable applications
~ Proven experience in providing technical leadership and mentoring other engineers for best practices on data engineering
~ Knowledge/experience in designing systems for Data-centric + Model-centric AI development
~ Certifications in Amazon Web Services. Previous experience building cloud native data engineering systems.
Technical project management experience
Previous experience working with machine learning teams in the NLP domain
Knowledge/experience in engineering high performance neural semantic systems, knowledge graphs, and dialogue systems
We are a dynamic team of engineers bringing together iterative NLP model development, high performance systems engineering and effective software development. As a startup we often have to find a balance between speed, quality and cost of development. We are ambitious, we take risks, and we embrace failure in a judgment free but accountable environment.
We work in a trust-based, mission-driven, goal-oriented, fully-remote work environment. We enable each other, but also consciously protect our time to deliver high quality work, to help create a thriving innovation culture.

Additional paid time off winter holidays (last week of December)
~ Company-wide innovation days – dedicated to projects you’d like to innovate on within the context of the work the company is doing
~Hybrid work environment (flexible). Easy public transit access to office in downtown Toronto
~ Health benefits
~ Work for a high growth startup, wear multiple hats, make a real impact. We are building something legit and impactful, that can truly change the world for good.

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