Data Engineering

Data Platform

You'll architect enterprise-wide data ecosystems that become the nervous system of billion-dollar decisions. This path creates CDOs who think like infrastructure builders but speak the language of business transformation.

L1 – L9 · 9 tours Leads to: CDO → What's a Reference DRS?

The Career Arc

Rotational · L1–L3

Build the Data Platform craft. Prove you can wield the tools of Data Engineering.

  • L1 : Learn data platforms through tooling work
  • L2 : Build platform features that data teams use
  • L3 : Own platform components with strong UX sense

Transformational · L4–L7

Deliver Data Platform outcomes — each Data Engineering tour at this altitude has a defined mission and success criteria.

  • L4 : Lead platform projects and mentor others
  • L5 : Drive platform architecture across the org
  • L6 : Set data platform direction company-wide
  • L7 : Shape the company's data platform vision

Manage a Team?

Great Data Platform managers are practitioners first. The Data Engineering IC responsibilities in L4–L7 are your foundation — your management responsibilities are additive:

  • • Hire people you'd trust locked in a room—skills matter, but trust matters more
  • • Build a team that balances technical depth with business curiosity
  • • Run 1:1s that connect data work to business impact—not just sprint tickets
  • • Give feedback that builds both technical and communication skills
  • • Remove blockers—fight for data access, compute resources, and stakeholder clarity

Foundational · L8–L9

Shape the Data Engineering organization from the Data Platform chair — build institutions, not just products.

  • L8 : Build and lead data platform teams
  • L9 : Own data platform strategy and execution
→ C-Suite: L10 is the CDO path — a distinct page, not duplicated here.

L1 — Associate Data Platform Engineer Rotational Full detail →

Mission

Learn data platforms through tooling work

This tour of duty

Ship a platform feature that data teams use

Own the outcomes

  • • Learn data platform concepts and self-serve tooling
  • • Build platform features under engineer guidance
  • • Support data team onboarding to platform tools
  • • Build foundational knowledge of data access patterns
  • • Participate in platform feedback sessions
  • • Document platform usage and troubleshooting guides

Data Platform at L1 — the competency bar

Data Engineering
2
Software Engineering
2
IT Operations
1

AI in this role

  • • Generating platform code
  • • Debugging platform issues
  • • Writing platform tests

L2 — Junior Data Platform Engineer Rotational Full detail →

Mission

Build platform features that data teams use

This tour of duty

Own a platform component that improves productivity

Own the outcomes

  • • Build platform features that improve data accessibility
  • • Implement data catalog and discovery improvements
  • • Support data teams with platform adoption
  • • Collaborate with data consumers on UX improvements
  • • Troubleshoot platform issues independently
  • • Create platform documentation and tutorials

Data Platform at L2 — the competency bar

Data Engineering
2
IT Operations
2
Software Engineering
1
Information Security
1
Operational Excellence
1

AI in this role

  • • Drafting platform designs
  • • Analyzing user friction
  • • Generating documentation

L3 — Senior Data Platform Engineer Rotational Full detail →

Mission

Own platform components with strong UX sense

This tour of duty

Lead a project that improves data accessibility

Own the outcomes

  • • Own platform components for data discovery or access
  • • Design platform features with strong UX sense
  • • Build self-serve capabilities that reduce friction
  • • Partner with data teams on platform requirements
  • • Develop platform SLAs and monitoring
  • • Mentor junior engineers on platform development

Data Platform at L3 — the competency bar

Data Engineering
3
IT Operations
2
Software Engineering
1
Information Security
1
Operational Excellence
1

AI in this role

  • • Modeling platform architectures
  • • Reviewing platform code
  • • Creating runbooks

L4 — Staff Data Platform Engineer / Manager, Data Platform Transformational Full detail →

Mission

Lead platform projects and mentor others

This tour of duty

Design platform capabilities that teams depend on

Own the outcomes

  • • Lead platform projects across capability areas
  • • Design scalable platform architectures
  • • Establish platform reliability and UX standards
  • • Mentor engineers on platform thinking
  • • Influence platform technology decisions
  • • Build relationships with data team leads

Data Platform at L4 — the competency bar

Data Engineering
3
Software Engineering
2
IT Operations
2
Information Security
1
Operational Excellence
1

AI in this role

  • • Designing platform systems
  • • Analyzing adoption patterns
  • • Generating specs

L5 — Senior Staff Data Platform Engineer / Senior Manager, Data Platform Transformational Full detail →

Mission

Drive platform architecture across the org

This tour of duty

Drive platform architecture that scales

Own the outcomes

  • • Define platform architecture strategy
  • • Set technical standards for platform development
  • • Lead complex platform infrastructure initiatives
  • • Drive platform technology evaluation and adoption
  • • Shape platform practices organization-wide
  • • Represent platform in technical planning

Data Platform at L5 — the competency bar

Data Engineering
4
IT Operations
3
Software Engineering
2
Information Security
1
Operational Excellence
1

AI in this role

  • • Evaluating platform technologies
  • • Building architecture docs
  • • Creating roadmaps

L6 — Director, Data Platform Engineering Transformational Full detail →

Mission

Set data platform direction company-wide

This tour of duty

Define platform standards that shape data practices

Own the outcomes

  • • Define platform vision that enables data teams
  • • Architect self-serve data infrastructure that scales
  • • Solve the most complex data platform and accessibility challenges
  • • Own platform adoption and satisfaction metrics
  • • Drive organizational alignment on platform priorities
  • • Represent platform in executive discussions

Data Platform at L6 — the competency bar

Data Engineering
4
Software Engineering
3
IT Operations
3
Strategy
2
Information Security
1
Operational Excellence
1

AI in this role

  • • Analyzing platform patterns
  • • Generating standards
  • • Building knowledge bases

L7 — Senior Director, Data Platform Transformational Full detail →

Mission

Shape the company's data platform vision

This tour of duty

Solve a platform problem that transforms productivity

Own the outcomes

  • • Set data platform strategy company-wide
  • • Align platform with data organization goals
  • • Build hiring and development for platform team
  • • Define industry-leading platform capabilities
  • • Shape company-wide platform operating model
  • • Lead platform planning and investment

Data Platform at L7 — the competency bar

Data Engineering
2
IT Operations
2
Strategy
2
Software Engineering
1
Information Security
1
Operational Excellence
1

AI in this role

  • • Modeling platform evolution
  • • Analyzing trends
  • • Creating vision documents

L8 — VP, Data Platform Foundational Full detail →

Mission

Build and lead data platform teams

This tour of duty

Build a platform team that enables data teams

Own the outcomes

  • • Own platform outcomes and data team productivity
  • • Drive transformation for platform-enabled scale
  • • Build systems for platform reliability and UX
  • • Shape company strategy through platform lens
  • • Establish operating model for platform organization
  • • Lead cross-functional platform alignment

Data Platform at L8 — the competency bar

Data Engineering
2
Software Engineering
2
IT Operations
1
Strategy
1

AI in this role

  • • Building platform dashboards
  • • Analyzing team patterns
  • • Creating hiring frameworks

L9 — SVP of Data Platform Foundational Full detail →

Mission

Own data platform strategy and execution

This tour of duty

Transform data platform practices across the org

Own the outcomes

  • • Shape company data platform vision
  • • Represent platform at executive level
  • • Define multi-year platform roadmap
  • • Build platform partnerships and relationships
  • • Lead platform through technology transitions
  • • Establish platform excellence as differentiator

Data Platform at L9 — the competency bar

Software Engineering
2
Data Engineering
1
IT Operations
1
Strategy
1

AI in this role

  • • Modeling platform scenarios
  • • Building strategy documents
  • • Designing knowledge infrastructure

What Hiring Managers Look For

•

You can build end-to-end data pipelines that actually run in production, not just proof-of-concepts that break under real load.

•

You've architected multi-petabyte systems that multiple teams depend on, with the scars from 3AM outages to prove your design decisions weren't theoretical.

•

You can articulate how data infrastructure investments translate to business outcomes, speaking fluently to both engineering teams and CFOs about platform ROI.

Common Career Transitions

→

Data Platform → Infrastructure Engineering at L5-L6 for broader distributed systems expertise

→

Data Platform → Product Engineering at L4-L5 to apply analytical thinking to user-facing systems

→

Data Platform → Technical Program Management at L6+ leveraging cross-team coordination experience

Official Classifications

System Code Official Title
O*NET-SOC (US) 15-1243.00 Database Architects
ISCO-08 (UN/ILO) 2521 Database designers and administrators
ESCO (EU) — database designer
SSOC 2024 (Singapore) 25210 Database Designers and Administrators
NCO-2015 (India) 2521.0100 Database Designer and Administrator

At L6 and above, the manager classification 1330 — Information and communications technology service managers applies IN ADDITION to the professional code — a manager is a superset of the individual contributor, never a replacement.

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