Collinson Group

3 weeks ago

Mumbai, India Collinson Loyalty & Benefits Private Limited” Full time

Description :Key Responsibilities :- Lead, mentor, and develop an analytical engineering team focused on modelling standards, quality, and reusability.- Partner with the Principal Data Engineer to co-own end-to-end data delivery from foundational pipelines through to analytical data layers.- Shape career growth, training, and performance pathways that develop deep data craftsmanship within the team.- Foster a culture of collaboration between data engineering, governance, and analytics aligning priorities through shared objectives.- Define and embed best practices in data modelling, including standards for naming, documentation, and business logic representation.- Lead the design of subject-area models and data contracts that form the foundation for reporting, AI, and personalization.- Champion the evolution toward a semantic and governed analytical layer, ensuring traceability from raw data to business outcomes.- Partner with Product, Analytics, and Technology teams to translate business concepts into consistent, reusable data assets.- Maintain high standards of quality and simplicity in data design prioritizing clarity, trust, and performance over complexity.- Work hand-in-hand with the Principal Data Engineer to align platform evolution, modelling standards, and delivery governance.- Contribute to the Data & Analytics strategy and roadmap, ensuring analytical engineering practices scale with Collinsons data ambitions.- Represent analytical engineering in cross-functional forums, advocating for trusted data, lineage, and definition alignment.- Partner with Governance, Data Science, and BI teams to ensure analytical models meet the needs of both operational and strategic insight.Knowledge, skills and experience required :Essential :- Proven experience leading data or analytics engineering teams within a modern cloud data platform.- Deep understanding of data modelling principles, including dimensional and domain-driven design.- Experience shaping and governing semantic or analytical layers that underpin enterprise analytics.- Strong partnership skills particularly in co-leading design and delivery alongside technical peers (e.g., Principal Data Engineer).- Excellent communication and stakeholder management across business, data, and technology teams.- A passion for quality, maintainability, and clarity in analytical data design.Desirable : - Exposure to data contracts, metadata management, or data governance frameworks.- Awareness of analytics enablement in AI-driven or personalization contexts.- Experience working with agile data teams balancing short-term delivery with long-term architecture.- Understanding of how analytical engineering integrates into data product, ML, and self-service strategies (ref:hirist.tech)

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