Senior Data Engineer building Azure pipelines, data platforms, and ML workflows for Manulife’s retirement operations. Supporting trusted analytics across North American teams.
About the role
- Lead Data Engineer responsible for data architecture, driving data quality, and mentoring the engineering team. Join a high-growth crypto gaming platform with a focus on scalable data solutions.
Responsibilities
- Lead the design and evolution of our core data architecture across transactional, analytical, and long-term storage systems.
- Own and improve PostgreSQL data design, schema structure, indexing strategy, query performance, relationships, constraints, and data integrity.
- Design, review, and maintain ERDs and data models that clearly represent business logic, system behavior, and domain relationships.
- Work closely with backend engineers to ensure application data models are scalable, consistent, and suitable for both operational and analytical use cases.
- Build and improve data pipelines from production systems into analytics databases and reporting layers.
- Design reliable approaches for data ingestion, replication, transformation, validation, rollups, aggregations, and historical storage.
- Help define the right architecture for hot, warm, and cold data storage.
- Support the design of analytics-friendly datasets for reporting, dashboards, product analytics, finance, compliance, and operational monitoring.
- Help evolve our analytics database strategy, including how we use analytical stores, materialised views, denormalised tables, and aggregation layers.
- Establish data modeling best practices across the engineering team.
- Identify and fix data quality issues, including inconsistent schemas, duplicated logic, missing relationships, poor naming, and unreliable reporting sources.
- Collaborate with backend, product, DevOps, and leadership teams to turn business requirements into clean, scalable data structures.
- Define best practices for migrations, data retention, archival, backfills, and safe deletion of production data.
- Mentor engineers on database design, ERDs, data modeling, and data pipeline thinking.
Requirements
- Strong professional experience in data engineering, data architecture, backend engineering, or a closely related role.
- Deep understanding of PostgreSQL, including schema design, indexing, query planning, constraints, normalisation, denormalisation, migrations, and performance optimisation.
- Strong understanding of ERDs and relational data modeling.
- Experience designing clean, scalable data models for complex business domains.
- Experience working with analytical databases, reporting databases, OLAP systems, or data warehouses.
- Experience building or maintaining data pipelines from production systems into analytics/reporting systems.
- Strong understanding of data quality, data consistency, data validation, and historical data management.
- Ability to reason about trade-offs between normalised transactional models and denormalised analytical models.
- Experience working with backend engineers and understanding how application architecture affects data architecture.
- Strong communication skills and the ability to explain complex data structures clearly to both technical and non-technical teams.
- Ability to lead technical initiatives and drive best practices across engineering teams.
Benefits
- 100% Remote — flexibility and freedom, wherever you are
- High-growth crypto gaming platform — real scale, real impact
- Competitive salary
- Flexible working hours — outcome-focused culture
- Career growth in a fast-moving, technically ambitious environment
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