Posting Type
Hybrid
Job Overview
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.As a Tech/Team Lead for Data Engineering, you will combine deep technical expertise with leadership skills to guide a team in building and maintaining ETL/ELT pipelines, data models, and governance frameworks that power analytics and reporting. You will lead architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable data solutions. This role emphasizes technical leadership, collaboration, and operational excellence, while fostering a culture of innovation and continuous improvement.
Job Description and Requirements
Your Role in Action
Lead and mentor a team of data engineers, promoting collaboration, knowledge sharing, and professional growth.
Drive architectural decisions for ETL/ELT pipelines, orchestration frameworks (Airflow/Prefect), and transformation layers (dbt).
Oversee design and implementation of analytics-ready data models (dimensional schemas, SCD strategies, semantic layers).
Ensure adherence to engineering best practices: clean code, modular design, CI/CD, automated testing, and code reviews.
Collaborate with stakeholders to align technical solutions with business objectives and analytics needs.
Champion governance, observability, and compliance frameworks across all data workflows.
Manage performance tuning and cost optimization for Snowflake, Databricks, and related cloud data platforms.
Facilitate architecture reviews and contribute to design decisions for scalable, fault-tolerant systems.
Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery.
Your Skills
Core Requirements:
Proven experience leading technical teams in data engineering or analytics-focused development.
Strong programming skills in SQL and Python; hands-on experience with ETL/ELT orchestration tools (Airflow/Prefect).
Expertise in dbt for transformation workflows and analytics modeling.
Familiarity with Snowflake and/or Databricks for large-scale data processing.
Solid understanding of data modeling principles, incremental strategies, and schema design for analytics.
Knowledge of data quality frameworks, lineage tracking, and governance in multi-tenant environments.
Familiarity with CI/CD, automated testing, and infrastructure-as-code practices.
Strong communication and stakeholder management skills; ability to drive architectural decisions and mentor engineers.
Nice to Have:
Exposure to Spark for distributed transformations.
Experience with streaming ingestion (Kafka/EventHub) and real-time data processing.
Familiarity with cost/performance tuning in Snowflake/Databricks.
Experience enabling self-service analytics for internal stakeholders.
Working knowledge of Terraform/Pulumi for infrastructure-as-code in data engineering.
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.
Benefit Highlights:
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
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
270 000 and 406 000PLNThe final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Suggested Skills:
Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, TroubleshootingTop Skills
What We Do
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains of documents, emails, and texts, more legal and data-centric matters can be resolved equitably. Join us in our mission to help our customers organize data, discover the truth, and act on it.
Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200.
Relativity does not tolerate racism or discrimination of any kind. We do not accept unfair treatment of any person or group of people. We’re committed to advocating for change to make our world a more inclusive, just place.
Why Work With Us
We believe in our team members and we want to help you own your career as part of a community of values-driven people who help customers around the world solve complex data challenges. At Relativity, you’ll take on challenging work, but you’ll also partner with talented colleagues and pursue plenty of learning and development opportunities.
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