As a Senior Data Platform Engineer at Medblocks, you will be the primary architect of our data infrastructure, designing and implementing the foundation that powers our entire healthcare platform. This is a high-ownership role where you’ll make critical decisions about data architecture, security, and performance that will scale with us for years to come.
Key responsibilities include:
Architecting and implementing complex PostgreSQL database schemas that handle millions of healthcare records with sub-second query performance
Writing and optimizing advanced PostgreSQL features including RLS (Row-Level Security) policies, stored procedures, triggers, and custom functions
Building reliable, real-time data pipelines using CDC (Change Data Capture) and event-driven architectures to sync data across multiple systems
Designing and implementing database performance monitoring, query optimization, and debugging strategies
Creating data integration patterns that map between our core PostgreSQL database and external systems (data warehouses, analytics platforms, third-party APIs)
Establishing database CI/CD practices including migration strategies, testing frameworks, and zero-downtime deployment patterns
Mentoring team members on database best practices and reviewing critical database design decisions
Documenting complex data models and creating technical specifications that other engineers can follow
Qualities We Value
Deep technical curiosity: You read PostgreSQL release notes for fun and have opinions about indexing strategies
Systems thinking: You understand how database decisions impact the entire application stack
Ownership mentality: You’ve been the person others turn to when the database is on fire at 2 AM
Teaching ability: You can explain why denormalization might be the right choice to both junior engineers and senior architects
Pragmatism: You know when to use triggers vs application logic, when to normalize vs denormalize
Requirements
Must have:
5+ years of production database engineering experience, with at least 3 years focused on PostgreSQL
Proven experience designing complex relational data models (50+ tables) that have scaled in production
Experience building data pipelines and ETL/ELT processes at scale
Hands-on experience with data integration patterns (CDC, event streaming, batch processing)
Strong DevOps skills including:
Database migration tools and strategies
CI/CD pipeline implementation
Infrastructure as Code (Terraform, Ansible)
Containerization and orchestration
Experience with monitoring and debugging production database issues
Track record of working in high-autonomy environments where you owned technical decisions
Nice to have:
Experience with data warehouse technologies (Snowflake, BigQuery, Redshift, Apache Iceberg)
Knowledge of event streaming platforms (Kafka, Debezium, Apache Pulsar)
Familiarity with dbt, Apache Airflow, or similar data orchestration tools
Experience with time-series data or audit log patterns
Contributions to PostgreSQL extensions or database-related open source projects
Experience with multi-tenant database architectures
Background in regulated industries requiring data compliance
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