Senior Data Platform Engineer - AI-Native, Databricks, Remote

Globalization Partners; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Paid parental leave

Flexible time off

Spending accounts

Medical insurance

Dental insurance

Vision insurance

Sabbatical after 5 years

Job summary

Globalization Partners seeks a Senior Data Engineer to serve as the architectural backbone of the AI-native data platform. You will design self-service frameworks and high-performance engines powering products and AI workflows across the company.

You will bridge strategy and execution, ensure the Databricks Lakehouse scales, optimize costs, enforce data contracts and governance, and mentor teams on scalable, reliable data engineering practices.

Qualifications

• 5+ years of experience building and operating production-grade data systems at massive scale.
• Deep, hands-on mastery of the Databricks/Spark ecosystem (Delta Lake, DLT, Spark UI debugging, and performance tuning).
• Experience building Real-time/Streaming architectures (Spark Structured Streaming, Kafka, or Kinesis).
• Experience managing and optimizing cloud costs in a high-growth environment.
• Experience building APIs, tools, or frameworks used by other internal engineering teams.

Responsibilities

• Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.
• Shift from pipeline building to platform engineering, creating reusable patterns for batch and real-time event processing.
• Take full ownership of the cost-effectiveness of the Databricks ecosystem. You will tune Spark execution plans, optimize shuffle partitions, and implement auto-scaling strategies to manage DBU consumption.
• Ensure the platform remains performant as volume grows, managing the trade-offs between latency, throughput, and cloud spend.
• Implement Schema-on-Write validation and Data Contracts to ensure data from hundreds of internal services meets strict quality standards before hitting the Bronze layer.
• Partner with the Data Architect & Data Stewards to enforce data privacy (PII), security standards, and metadata lineage across the global ecosystem.
• Champion the use of AI-assisted development tools to accelerate the engineering lifecycle and improve code quality.
• Mentor engineers on distributed computing best practices, conducting deep-dive code reviews that focus on scalability and maintainability.

Skills

Scale specialist

Databricks expert

Streaming veteran

Optimization mindset

Platform thinker

Tools

Databricks

Spark

Delta Lake

DLT

Job description

Globalization Partners seeks a Senior Data Engineer to serve as the architectural backbone of the AI-native data platform. You will design self-service frameworks and high-performance engines powering products and AI workflows across the company.

You will bridge strategy and execution, ensure the Databricks Lakehouse scales, optimize costs, enforce data contracts and governance, and mentor teams on scalable, reliable data engineering practices.