# Lead Data Engineer

**Company**: IQVIA
**Experience**: senior
**Job type**: full-time
**Salary**: 217 300,00 zł - 461 700,00 zł
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://iqvia.wd1.myworkdayjobs.com/en-US/IQVIA/job/Warsaw-Poland/Lead-Data-Engineer_R1543645?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_de12f27c-d4c

## Description

We are looking for an experienced, innovative, and highly motivated Lead Data Engineer to join the development of IQVIA's next-generation data platform designed to unify, govern, and activate data across the enterprise.

In this role, you will serve as a technical leader responsible for shaping the engineering direction of the platform, influencing architecture decisions across multiple squads, and driving the adoption of scalable, secure, and high-performing data solutions.

**Core Responsibilities**

- Lead the design and implementation of enterprise-scale data engineering solutions processing large volumes of commercial and healthcare data.

- Define and influence platform architecture, engineering patterns, and technical standards across multiple teams.

- Drive technical strategy and roadmap execution in partnership with Product Management and Architecture teams.

- Provide hands-on technical leadership for complex initiatives and critical platform capabilities.

- Collaborate with cross-functional teams to create scalable, reusable, and maintainable data services.

- Mentor Senior Data Engineers and contribute to the growth of engineering talent across the organization.

- Establish and promote best practices for software engineering, data engineering, testing, security, and operational excellence.

- Lead architecture reviews, design discussions, and technical decision-making processes.

- Identify and resolve cross-team technical dependencies and risks.

- Drive performance optimization, scalability improvements, and platform reliability initiatives.

- Champion automation, observability, and engineering productivity improvements.

- Contribute to strategic technology evaluations and adoption decisions.

**Qualifications**

- Bachelor's Degree in IT, Software Engineering, Computer Science, Mathematics, or a related field.

**Technical Skills and Knowledge**

- 8+ years of experience in data engineering

- 6+ years of experience with SQL and Python

- Deep expertise in Databricks, Snowflake, Apache Spark, and modern cloud-based data platforms

- Strong understanding of distributed data systems and large-scale data architectures

- Advanced knowledge of Apache Iceberg and modern open table formats

- Extensive experience designing enterprise-scale ETL/ELT solutions

- Experience defining data architecture standards and governance frameworks

- Expertise in data warehousing, data modeling, data quality, and data integration

- Strong experience with CI/CD automation processes and tools (GitLab)

- Experience operating data platforms at scale in Azure cloud environments

- Knowledge of platform observability, monitoring, reliability engineering, and performance tuning

**Additional / Nice to Have**

- Familiarity with AI-powered productivity tools (Copilot/Cursor) and their practical use in software engineering workflows.

- Experience driving technical strategy in a product-led organization.

- Knowledge of Cloudera Data Platform.

- Experience with database design and modeling methodologies (Kimball, Inmon, Data Vault).

- Prior experience with healthcare or pharmaceutical data.

- Strong understanding of software architecture, algorithms, design patterns, and distributed systems.

- Experience processing very large data volumes (multi-terabyte and petabyte-scale environments).

- Experience mentoring engineers and leading technical communities of practice.

**Personal Skills**

- Exceptional analytical, problem-solving, and troubleshooting skills.

- Strong leadership and influencing skills without direct authority.

- Excellent collaboration, communication, and stakeholder management abilities.

- Ability to present complex technical concepts to both technical and executive audiences.

- Experience working with global teams and navigating cross-cultural collaboration.

- Proven ability to align technical decisions with business objectives.

- Growth mindset with a passion for mentoring and developing engineering talent.

- Strong ownership mentality and commitment to engineering excellence.

## Skills

### Required
- SQL
- Python
- Databricks
- Snowflake
- Apache Spark
- Apache Iceberg
- ETL/ELT
- CI/CD automation
- Azure cloud

### Nice to have
- AI-powered productivity tools
- Cloudera Data Platform
- database design
- healthcare data
- software architecture
- distributed systems

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Source: [Apply at iqvia.wd1.myworkdayjobs.com](https://iqvia.wd1.myworkdayjobs.com/en-US/IQVIA/job/Warsaw-Poland/Lead-Data-Engineer_R1543645?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)