Leads data platform architecture, mentors engineers and owns the data roadmap.

Entry

Senior

Coding

Very High

Key skills

Data platform architecturePython / ScalaSpark / distributed processingCloud data platforms

Career overview

The Senior Data Engineer owns the architecture and reliability of the data platform: ingestion, transformation, orchestration, quality and cost at scale. They mentor engineers and set standards. The role leads to Data Architect, Data Platform Engineer or Head of Data positions.

Main responsibilities

  • Build reliable data ingestion pipelines
  • Model and maintain the data warehouse
  • Guarantee data quality, freshness and lineage
  • Describe infrastructure as code and version it
  • Build and maintain CI/CD pipelines
  • Monitor platform health, alerts and dashboards
  • Track and optimise cloud spending
  • Coordinate the technical work of the team
  • Mentor junior team members and review their work
  • Own the technical roadmap of the perimeter

Technical skills

Data platform architecture92%
Python / Scala88%
Spark / distributed processing88%
Orchestration (Airflow)85%
Cloud data platforms88%
Streaming (Kafka)80%
Data modelling85%
Mentoring80%

Technologies

PythonScalaSparkAirflowdbtKafkaSnowflakeBigQueryRedshiftDatabricksAWSGCPTerraformDockerKubernetesGitPrefect DagsterLinux

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 difficulty88%

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

Senior Data EngineerData Architect

Possible branches

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: Medium

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

View roadmap

Overlap: 75% · Difficulty: Medium

Skills to learn: Pipelines & ETL/ELT, Documentation

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

Roles that frequently lead into this career.

Overlap: 74% · Difficulty: Easy

Skills to learn: Orchestration (Airflow), Mentoring

View roadmap

Overlap: 63% · Difficulty: Easy

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

View roadmap

Related resources

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Senior Data EngineerData Platform Engineer

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