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Senior Data Platform Engineer
Relativity
Salary
PLN 208k – PLN 312k
Work mode
Remote
What we're looking for
- Strong programming skills in Python and SQL
- Solid understanding of software engineering principles
- Hands-on experience with Apache Spark
- Expertise in Delta Lake and/or Apache Iceberg
- Experience with dbt
- Familiarity with Databricks and Snowflake
- Understanding of data governance, lineage, and compliance
- Familiarity with Kubernetes, Docker, and infrastructure-as-code tools
- Understanding of performance tuning, scalability strategies, and cost optimization
- Exposure to event-driven architectures and advanced analytics platforms
- Experience enabling self-service analytics
- Experience in Java, Scala, or Rust
About the role
We are building a specialized team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. This team will design and maintain data platforms that integrate modern lakehouse technologies, distributed compute frameworks, and cloud-native services to support diverse analytical use cases and enterprise-scale insights.
As a Senior Data Platform Engineer, you will combine strong software engineering principles with deep data expertise to build robust, cloud-native platforms. You will work on systems that leverage Apache Spark, Delta Lake, and Iceberg to process large-scale datasets efficiently, while enabling internal users to build reporting and analytics through curated data models, optimized query performance, and reliable data pipelines. This role emphasizes cloud-native architecture, data warehousing integration, and governance best practices to deliver secure, reliable, and future-ready solutions.
Relativity’s scale and breadth provide significant opportunities for rich data exploration and insights. Our data infrastructure ensures that vast datasets remain accessible, secure, and compliant, while enabling innovation across the organization. We are making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics.
Your Role in Action:
- Design and implement scalable data pipelines and distributed systems using Spark and Python to process and transform large-scale datasets for analytics and reporting.
- Apply software engineering best practices, including clean code, modular design, CI/CD, automated testing, and code reviews.
- Develop and maintain lakehouse capabilities with Delta Lake and Iceberg, ensuring data reliability, versioning, and performance optimization.
- Enable analytics workflows by integrating dbt for SQL transformations running on Spark.
- Collaborate with internal teams to provide curated datasets and self-service capabilities for reporting and advanced analytics.
- Integrate and optimize data warehousing solutions such as Databricks and Snowflake for scalable storage and query performance.
- Build platforms that allow secure and compliant access to diverse data sources for analytical use cases.
- Implement observability and governance frameworks, including data lineage, quality checks, and compliance controls.
- Drive performance tuning and cost optimization across Spark jobs and cloud-native environments.
- Champion best practices in CI/CD, automated testing, and infrastructure-as-code for data engineering workflows.
- Participate in on-call rotations as part of a team responsibility.
As a Senior Data Platform Engineer, you will combine strong software engineering principles with deep data expertise to build robust, cloud-native platforms. You will work on systems that leverage Apache Spark, Delta Lake, and Iceberg to process large-scale datasets efficiently, while enabling internal users to build reporting and analytics through curated data models, optimized query performance, and reliable data pipelines. This role emphasizes cloud-native architecture, data warehousing integration, and governance best practices to deliver secure, reliable, and future-ready solutions.
Relativity’s scale and breadth provide significant opportunities for rich data exploration and insights. Our data infrastructure ensures that vast datasets remain accessible, secure, and compliant, while enabling innovation across the organization. We are making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics.
Your Role in Action:
- Design and implement scalable data pipelines and distributed systems using Spark and Python to process and transform large-scale datasets for analytics and reporting.
- Apply software engineering best practices, including clean code, modular design, CI/CD, automated testing, and code reviews.
- Develop and maintain lakehouse capabilities with Delta Lake and Iceberg, ensuring data reliability, versioning, and performance optimization.
- Enable analytics workflows by integrating dbt for SQL transformations running on Spark.
- Collaborate with internal teams to provide curated datasets and self-service capabilities for reporting and advanced analytics.
- Integrate and optimize data warehousing solutions such as Databricks and Snowflake for scalable storage and query performance.
- Build platforms that allow secure and compliant access to diverse data sources for analytical use cases.
- Implement observability and governance frameworks, including data lineage, quality checks, and compliance controls.
- Drive performance tuning and cost optimization across Spark jobs and cloud-native environments.
- Champion best practices in CI/CD, automated testing, and infrastructure-as-code for data engineering workflows.
- Participate in on-call rotations as part of a team responsibility.
Compensation & benefits
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two, week-long company breaks per year
Additional time off
Long-term incentive program
Training investment program
Equity details
Details: This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
About Relativity
Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.