Agilus by Synergie is recruiting for a Director, Data Engineering & Product Data in the Retail Sector in a hybrid work environment in Toronto, Ontario.
Accountabilities:
- Architect, build, and maintain scalable batch and real-time data pipelines that extract, transform, and load data from SAP (ERP, EWM, BW) and other key Digital/Enterprise systems into Snowflake as the data lake platform
- Lead the migration of legacy SAP BW workloads into Snowflake on a defined decommissioning timeline, retiring duplicated reporting paths and improving run-time, stability, and total cost of ownership
- Define and maintain data architecture, modelling standards, governance, and lineage practices to ensure data assets are consistent, compliant, and trustworthy across the platform
- Own the end-to-end process for inbound vendor product data ingestion, re-architecting pipelines for fault tolerance, scalability and continuous cost reduction
- Oversee Product Information Management strategy and operations - including taxonomy design, product attributes, metadata standards, and content quality - ensuring data readiness across all channels
- Modernize the master data operating model to enable scaled, self-serve correction
- Provide the engineered data foundations - including curated datasets, feature stores, event streams, and identity resolution - that support the development and deployment of data science models for customer personalization
- Establish and enforce data governance frameworks, including data quality monitoring, lineage documentation, access controls, and compliance with privacy regulations
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field; equivalent practical experience considered
- 8+ years of progressive experience in data engineering, data platform development, or related technical disciplines, with 3+ years in a people leadership role
- Demonstrated expertise building and operating enterprise-scale data pipelines on modern cloud data platforms; hands-on Snowflake required, with working knowledge of Azure and GCP/BigQuery; experience in an agile delivery environment required; retail or e-commerce background strongly preferred
- Proven experience leading MDM and/or PIM at scale, including stewardship operating models, data quality remediation, and self-serve correction workflows for business users
- Cloud certification (e.g., Microsoft Certified: Azure Data Engineer Associate, Google Professional Data Engineer, or Snowflake SnowPro Core) is an
- Deep expertise in Snowflake architecture and ETL/ELT pipeline design, with working knowledge of BigQuery; hands-on experience with Apache Airflow and/or Azure Data Factory; strong SQL and Python skills; comfort using AI-assisted engineering tools (e.g. Cursor) to accelerate pipeline development
What's in it for you:
- $160000.00 - $180000.00 annually
- An exiting opportunity to lead the data transformation of one of Canada's most iconic retail brands over the last 30 years. As Director of Data Engineering, you'll have high visibility and impact to shape enterprise data strategy, modernize loyalty, ecommerce, and in-store analytics, and build the foundation for smarter decisions, exceptional customer experiences, and the future of retail innovation.
Soft skills:
- Build, lead, and develop a high-performing cross-functional team spanning data engineering, development, and product information disciplines
- Collaborate with others to drive flexible and iterative solutions, quickly and easily
- Share technical knowledge with others and actively seek to learn from those more knowledgeable than yourself
- Help others see the impacts of their efforts and proactively engage other functions to get input
This posting is for an active opening.
Interested?
Please apply directly online
