Data Platform Lead

over99

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.

Posted 6/4/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorWebsite

Tech Stack

Tools & technologies

Postgres

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PostgreSQLdata architecturedata modelingdata pipelinesdata ingestiondata validationdata qualityOLAP systemsreporting databasesperformance optimisation

Soft Skills

strong communication skillsmentoringcollaborationleadershipproblem-solving