
Director - Data Architect - GFT
- Toronto, ON
- Permanent
- Full-time
- Lead a team of analysts within Data Engineering group, including project oversight, coaching and professional development.
- Ability to inspire highest level of quality/rigor/thought leadership in compete data lifecycle including gathering, transforming, reporting and analytics of the large data sets.
- Leverage big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Bank’s unique data set
- Lead development of assets supporting scalable analytic approaches capable of being leveraged by data scientists / analysts globally.
- Evangelize new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessions.
- Utilize Hadoop, and related query engines, such as Hive, Databricks, Snowflake, to perform advanced data mining and analysis.
- Research industry metrics and business context and bring this context to bear in analyses
- Advanced quantitative, qualitative, analytical, problem solving, and critical thinking skills. Advanced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as Hive/SQL/Spark/Python
- Experience utilizing querying, automation, and big data technologies (e.g. Python,SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights
- Minimum of 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other data-driven functions
- Exceptional storytelling skills, with a track record of translating complex data into compelling business insights. Ability to communicate findings derived from complex analytics to Senior Leadership, both verbally and visually
- Solid understanding of Finance business processes such as Balance Sheet Reporting, Profit and Loss Reporting, Capital Reserve Reporting, Capital Markets products and processes, and Regulatory Reporting
- Data Engineering / Data Science certification and/or completion of Business Analysis training courses.
- Hands on experience in Databricks / Snowflake/ Hadoop / Data lakehouse technologies
- Expertise in the application of predictive modeling and machine learning techniques
- Proficiency with creating compelling presentations
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work