Data Platform Lead

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Direct the design and advancement of our primary data architecture encompassing transactional, analytical, and long-term storage systems.

• Take ownership of and enhance PostgreSQL data design, schema organization, indexing strategies, query performance, relationships, constraints, and data integrity.

• Create, evaluate, and sustain ERDs and data models that effectively depict business logic, system behavior, and domain relationships.

• Collaborate closely with backend engineers to guarantee that application data models are scalable, consistent, and appropriate for both operational and analytical scenarios.

• Construct and enhance data pipelines from production environments into analytics databases and reporting layers.

• Devise dependable methods for data ingestion, replication, transformation, validation, rollups, aggregations, and historical storage.

• Assist in defining the optimal architecture for hot, warm, and cold data storage.

• Facilitate the design of analytics-friendly datasets for reporting, dashboards, product analytics, finance, compliance, and operational monitoring.

• Contribute to the evolution of our analytics database strategy, focusing on the use of analytical stores, materialized views, denormalized tables, and aggregation layers.

• Establish data modeling best practices throughout the engineering team.

• Detect and resolve data quality issues, including inconsistent schemas, duplicated logic, missing relationships, poor naming conventions, and unreliable reporting sources.

• Partner with backend, product, DevOps, and leadership teams to translate business requirements into clear, scalable data structures.

• Define best practices for migrations, data retention, archival processes, backfills, and the safe deletion of production data.

• Guide engineers in database design, ERDs, data modeling, and data pipeline methodologies.

⛳️ Requirements

• Significant professional experience in data engineering, data architecture, backend engineering, or a closely related field.

• Profound knowledge of PostgreSQL, including schema design, indexing, query planning, constraints, normalization, denormalization, migrations, and performance optimization.

• Strong grasp of ERDs and relational data modeling principles.

• Proven experience in designing clean, scalable data models for intricate business domains.

• Background in working with analytical databases, reporting databases, OLAP systems, or data warehouses.

• Experience in constructing or maintaining data pipelines from production systems to analytics/reporting systems.

• Comprehensive understanding of data quality, data consistency, data validation, and historical data management.

• Ability to assess trade-offs between normalized transactional models and denormalized analytical models.

• Experience collaborating with backend engineers and understanding the impact of application architecture on data architecture.

• Excellent communication skills with the ability to clearly explain complex data structures to both technical and non-technical audiences.

• Capacity to lead technical initiatives and promote best practices across engineering teams.

🏝️ Benefits

• 100% Remote — enjoy flexibility and freedom, no matter where you are.

• High-growth crypto gaming platform — experience real scale and meaningful impact.

• Competitive salary.

• Flexible working hours — we focus on outcomes.

• Opportunities for career advancement in a fast-paced, technically ambitious environment.