Lead Data Engineer - Cloud Native Data Platforms (Remote)

your Jared; Poland; Remote; PLN 190,000 - 270,000; Full time

Benefits offered by this job

Multisport

Private medical care

Development budget

Job summary

Cloudfide is seeking a Lead Data Engineer to own the design and scaling of end-to-end cloud data platforms. You will collaborate with clients, architects, engineers, and cross-functional partners to define robust technical solutions and ensure excellence across delivery.

Expect modern cloud environments (Azure-first), full Databricks ecosystem, strong CI/CD, and impactful projects used across global organizations. You will mentor engineers and shape architectural direction.

Qualifications

• Hands-on data engineer with strong Python and SQL capabilities.
• Experience in designing cloud-native data platforms (lakehouse, ETL/ELT).
• Proven ability to lead engineering efforts and drive architecture decisions.
• Familiarity with Databricks, Spark, and modern data tooling.

Responsibilities

• Designing and owning cloud-native data architectures (lakehouse, distributed processing, data platforms).
• Leading technical decision-making: setting standards, defining patterns, reviewing solutions, and guiding long-term architecture.
• Building and optimizing scalable, production-ready data pipelines and large-scale processing systems.
• Working closely with clients and senior stakeholders to understand business needs and translate them into technical direction.
• Driving engineering excellence: quality frameworks, observability, lineage, testing, documentation, performance.
• Identifying architectural gaps and leading modernization & optimization initiatives.
• Setting direction for technical roadmaps and ensuring platform scalability, reliability, and maintainability.
• Providing technical leadership to engineers: mentoring, reviewing code, guiding design decisions (formal leadership experience not required).
• Supporting integrations with BI, ML, and platform engineering teams.
• Bringing in new technologies, methodologies, and innovations to elevate technical capabilities.

Skills

Advanced Python

SQL proficiency

Azure cloud

Databricks / Spark

Data engineering leadership

CI/CD familiarity

Communication skills

Tools

Databricks

Spark

Airflow

Azure DevOps

GitHub Actions

Job description

Cloudfide is seeking a Lead Data Engineer to own the design and scaling of end-to-end cloud data platforms. You will collaborate with clients, architects, engineers, and cross-functional partners to define robust technical solutions and ensure excellence across delivery.

Expect modern cloud environments (Azure-first), full Databricks ecosystem, strong CI/CD, and impactful projects used across global organizations. You will mentor engineers and shape architectural direction.