Builds the internal data platform that data teams use to ship pipelines and analytics.

Entry

Senior

Coding

Very High

Key skills

Data platform architectureOrchestration & toolingIaC (Terraform)Cloud data services

Career overview

The Data Platform Engineer builds the internal data platform: self-service tooling, orchestration, catalog, observability and golden paths for data teams. They apply platform engineering thinking to data. The role leads to Senior Data Engineer, Data Architect or Head of Data positions.

Main responsibilities

  • Build internal self-service platforms for developers
  • Build reliable data ingestion pipelines
  • Model and maintain the data warehouse
  • Describe infrastructure as code and version it
  • Build and maintain CI/CD pipelines
  • Monitor platform health, alerts and dashboards
  • Track and optimise cloud spending
  • Improve developer experience and golden paths
  • Mentor junior team members and review their work
  • Own the technical roadmap of the perimeter

Technical skills

Data platform architecture90%
Orchestration & tooling88%
IaC (Terraform)85%
Data catalog & lineage82%
Observability82%
Python / Go82%
Cloud data services85%
Developer experience80%

Technologies

AirflowDagsterPrefectdbtTerraformPythonGoSnowflakeBigQueryDatabricksAWSGCPDockerKubernetesOpenMetadataMonte CarloGitLinuxKafka

Education level

Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.

High School / Bac

Less common

Bac+2 (2-year degree)

Less common

Bac+3 (Bachelor)

Less common

Bac+5 (Master / Engineering)

Common entry point

Experience & coding level

Experience level

Entry LevelJuniorIntermediateSeniorExpert

Coding level

No codingLowMediumHighVery High
Technical difficulty86%

Useful certifications

Certifications are never mandatory. They are one way among others to prove a skill.

  • Google Professional Data Engineer
  • AWS Data Analytics Specialty
  • Databricks Certified Data Engineer

Where can this career take you?

Multiple paths are possible. Click a role to open its profile.

Direct progression

Data Platform EngineerSenior Data Engineer

Possible branches

Data ArchitectHead of Data
Where Can Your IT Career Take You?

Where can you go next?

Realistic next career moves, with compatibility and a transition roadmap for each.

Overlap: 63% · Difficulty: Easy

Skills to learn: Spark / distributed processing, Streaming (Kafka), Mentoring

View roadmap

Where can you go from here?

A typical progression built from real career relationships. Click any role to open its profile.

Soft skills
  • Big-picture thinking
  • Problem solving
  • Autonomy
  • Clear communication
  • Mentoring
  • Sense of ownership
Common previous careers

Roles that frequently lead into this career.

Overlap: 63% · Difficulty: Medium

Skills to learn: IaC (Terraform), Observability, Developer experience

View roadmap

Overlap: 0% · Difficulty: Medium

Skills to learn: Data platform architecture, Orchestration & tooling, IaC (Terraform)

View roadmap

Related resources

Continue your career exploration

Keep moving: compare roles, follow a roadmap, read a guide or prepare for an interview.

Ready to explore your next step?

A documented transition from this role to the next.

Data Platform EngineerSenior Data Engineer

Explore this career path

Keep exploring

Compare this role with others, or check which career fits you best.