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About the Role
The Director, Data Engineering & Product Data is a senior technology leader accountable for enterprise data engineering, master data, and product data development. They own the end-to-end data pipeline into Snowflake, modernize master data curation, and deliver fault-tolerant vendor data ingestion. This role provides the engineered data foundations powering analytics, phygital experiences, reporting, and 1:1 customer personalization.
Responsibilities
- Architect, build, and maintain scalable batch and real-time data pipelines from SAP and other key systems into Snowflake.
- Lead the migration of legacy SAP BW workloads into Snowflake.
- Define and maintain data architecture, modelling standards, governance, and lineage practices.
- 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, ensuring data readiness across all channels.
- Modernize the master data operating model to enable scaled, self-serve correction.
- Provide engineered data foundations supporting 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.
- Develop and execute the multi-year data engineering roadmap.
- Proactively monitor pipeline health and infrastructure performance, leading rapid incident diagnosis and resolution.
- Optimize Indigo's cloud data platform for storage, lifecycle policies, and cost management.
- Continuously improve data engineering processes by automating manual workflows, reducing technical debt, and evaluating new tools and technologies.
- Ensure the completion of team deliverables and set/adhere to team budgets.
- Act as an advocate for the customer by placing them at the forefront of all design and decision-making processes.
- Proactively identify and anticipate customer expectations and needs.
- Embrace and seek out technology that creates high tech and high touch solutions for Indigo's customers.
- Challenge the status quo and consistently identify areas for improvement, diagnose issues and work to resolve them.
- 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.
- Share technical knowledge with others and actively seek to learn from those more knowledgeable.
- Help others see the impacts of their efforts and proactively engage other functions to get input.
- Encourage others to freely share their point of view and be open to feedback.
- Model Indigo’s beliefs and convey a positive image.
- Celebrate diversity of thought and have an open mindset.
- Take an active role in fostering a culture of continual learning, taking risks without the fear of making mistakes.
- Embrace, champion and influence change through your team and/or the organization.
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.
- 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.
- 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 asset.
- Experience extracting and transforming data from SAP modules (ERP, EWM, BW), including familiarity with IDocs, BAPIs, RFC/BAPI connectors, and CDS Views.
- Solid understanding of data modelling (dimensional, star schema, data vault), data quality frameworks, and observability practices.
- Familiarity with data science workflows and the ability to partner effectively with data scientists on feature engineering, model deployment, and experimentation infrastructure.
- Strong understanding of data governance, security, privacy (PIPEDA), and compliance best practices.
- Experience with Git and CI/CD practices for data pipeline development.
- Strong communicator who can translate complex data and technical concepts for non-technical stakeholders.
- Able to lead and hold a team accountable for quality, delivery, and continuous improvement.
Skills
- Snowflake architecture
- ETL/ELT pipeline design
- BigQuery
- Apache Airflow
- Azure Data Factory
- SQL
- Python
- AI-assisted engineering tools (e.g. Cursor)
- Data modelling (dimensional, star schema, data vault)
- Data quality frameworks
- Observability practices
- Data governance
- Data security
- Data privacy (PIPEDA)
- Compliance best practices
- Git
- CI/CD practices
Work Type
- Permanent
- Full-Time
Experience Level
- 8+ years of progressive experience in data engineering, data platform development, or related technical disciplines
- 3+ years in a people leadership role
Education Level
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field; equivalent practical experience considered
Salary/Compensations
- CAD 125000 - CAD 170000 - yearly
About the Company
- Indigo is a physical and digital place inspired by and filled with books, ideas, beautifully designed lifestyle products, and the creative people who help make it all happen.
- We believe in real books, living life fully and generously, being kind to each other and to the environment, and that stories — big and little — connect us.
- Indigo is our customer's happy place — for joyful moments of discovery and to connect with people who share their passion for reading, their belief in ideas, and their commitment to making the world a better and more beautiful place.
- Our Mission is to inspire reading and enrich the lives of booklovers.
- We believe in the power of people and their stories.
- We aim to attract top talent, nurture the potential of our employees, and create space for everyone to thrive.
- Our Guiding Principles are the few key ideas that are meant to influence everything we do, every day.
- We Will Hire, Inspire, Promote and Retain the Best – A’s Hire A’s
- We Will Be Customer Centric
- We Will Be Data Driven – System Thinking – Entrepreneurial
- We are Committed to True and Shared Value Creation
- We Will Be Human-Centered and AI Enabled
- We are Committed to Caring About Each Other, Our Communities, Our Environment
Equal Opportunity
- Indigo uses artificial intelligence (AI) tools to assist with certain aspects of the hiring process, such as screening and assessments. These tools support our team but do not replace human judgment. We are committed to using AI responsibly, fairly, and in compliance with applicable employment and anti-discrimination laws. We regularly review these tools to help prevent bias or discrimination.
- At Indigo, Diversity, Equity, Inclusion, and Accessibility are core to our values. We integrate these principles into our training, policies, and hiring practices and continuously evolve to reflect the needs of the communities we serve. We welcome applicants from all backgrounds and lived experiences, including but not limited to individuals who identify as BIPOC (Black, Indigenous, and People of Colour), members of the 2SLGBTQIA+ community, and persons with disabilities. If you require an accommodation during the recruitment process, please contact Human Resources at [email protected].