Director, Data Engineering & Product Data

MISSION

The Director Data Engineering & Product Data is a senior technology leader accountable for three connected disciplines: enterprise data engineering master data and product data development. They own a stable governed and secure end-to-end pipeline from Digital and Enterprise into Snowflake; modernize how master data is curated and corrected so the business can scale across a 10M SKU catalogue; and deliver fault-tolerant cost-efficient vendor data ingestion and processing. The Director provides the engineered data foundations powering analytics phygital experiences reporting and 1:1 customer personalization across Indigo.

KEY PERFORMANCE METRICS

• Pipeline reliability and SLA adherence uptime latency and data freshness targets for all critical data flows
• Data quality accuracy completeness and consistency scores across product information customer data and transactional data
• Personalization enablement timely delivery of data products supporting data science models segmentation and 1:1 personalization
• On-time on-budget on-scope delivery of engineering initiatives against the roadmap
• Platform cost efficiency Snowflake and infrastructure spend relative to usage with continuous optimization
• Team growth engagement and ongoing improvement of data engineering practices

KEY ACCOUNTABILITIES

Functional

• 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
• Develop and execute the multi-year data engineering roadmap in alignment with Indigos technology and business strategy
• Proactively monitor pipeline health and infrastructure performance leading rapid incident diagnosis and resolution to minimize business impact
• Optimize Indigos cloud data platform including storage patterns lifecycle policies and cost management to support analytics reporting and ML workloads
• Continuously improve data engineering processes by automating manual workflows reducing technical debt and evaluating new tools and technologies that enhance team productivity and platform capability
• Ensure the completion of team deliverables and set/adhere to team budgets as applicable
• 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 Indigos customers
• Challenge the status quo and consistently identify areas for improvement diagnose issues and work to resolve them

People

• 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
• Encourage others to freely share their point of view and be open to feedback

Cultural

• Model Indigos beliefs and convey a positive image in everything you do
• 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

KEY RELATIONSHIPS

Internal:

• CTO / Technology Leadership Team
• Personalisation teams
• Digital and Enterprise technology teams
• Digital Merchandising and Marketing
• Finance Planning and Supply Chain Operations

External:

• Platform vendors
• Implementation and consulting partners

Qualifications :

Work Experience / Education / Certifications

• Bachelors 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 asset

Competencies / Skills / Attributes

• 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
• 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

Additional Information :

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 

We respect your privacy throughout the recruitment process. Our Candidate Privacy Notice explains how we collect use and protect your personal information when you apply for a role with Indigo and the choices available to you.

This posting is for a current opportunity within Indigo.

Remote Work :

No

Employment Type :

Full-time