IT Analytics Lead, Data Engineering & Delivery

Strategic Leadership

• Define and execute the strategic roadmap for enterprise data engineering modernization, aligning with the broader Analytics and Enterprise Architecture vision.

• Lead the migration of legacy ecosystems to modern platforms like Databricks, Prophecy, and Delta Lake, driving operational resilience and scalability.

• Shape enterprise data engineering covering ingestion, transformation, data lakehouse management, and delivery patterns across cloud and hybrid environments.

• Foster innovation in real-time data streaming, AI-enablement of pipelines, and low-code data development paradigms.

Enterprise Data Engineering & Platform Modernization

• Architect and operationalize scalable data pipelines supporting Retail, Supply Chain, Merchandising, and Planning analytics use cases.

• Oversee the integration of diverse enterprise systems: ERP (SAP, D365), POS, eCommerce, Warehouse Management, and 3PL partners.

• Embed data quality, lineage, and observability across the data lifecycle leveraging SODA Cloud, Atlan, and Unity Catalog.

• Optimize cost, performance, and resource efficiency of Spark-based workloads at scale.

Team & People Leadership

• Build and lead a high-caliber data engineering organization, mentoring engineers and architects across multiple technology stacks.

• Foster a culture of technical excellence, agile delivery, and continuous improvement.

• Drive talent strategy, succession planning, and team development.

Governance, Security & Operational Excellence

• Establish robust governance practices, partnering closely with Information Security and Enterprise Data Governance teams.

• Drive CI/CD, automated deployment, and monitoring frameworks for data pipelines and platforms.

• Ensure compliance with data privacy regulations (GDPR, CCPA) and enterprise security standards.

Cross-Functional Collaboration

• Partner with Enterprise Architects, Platform Engineering, and Business Leadership to align technology solutions with business priorities.

• Collaborate with Product Management, Retail Operations, and Analytics teams to deliver data solutions driving measurable business impact.

Education & Experience

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

• Proven track record of leading large-scale data platform transformations in Retail, eCommerce, or Consumer Goods domains.

Technical Expertise

• Deep expertise in Databricks, Spark, Delta Lake, and cloud-native data platforms (AWS, Azure preferred).

• Hands-on leadership of migration from legacy ETL platforms (Informatica, SSIS, Talend, Glue) to modern lakehouse architectures.

• Proficiency in Python, PySpark, and SQL strong familiarity with Prophecy.io or similar low-code data platforms.

• Experience with data governance, metadata management, and catalog platforms like Atlan and SODA Cloud.

• Strong knowledge of retail business processes and retail data models.

Leadership & Soft Skills

• Strategic thinking with a strong business outcome orientation.

• Exceptional stakeholder management and executive communication skills.

• Collaborative leadership style with the ability to influence cross-functional teams.

• Strong problem-solving, analytical, and critical thinking abilities.